* installing *source* package 'rts2' ... ** using staged installation ** libs using C++ compiler: 'g++.exe (GCC) 12.3.0' using C++17 g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c RcppExports.cpp -o RcppExports.o In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter >' RcppExports.cpp:983:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter >' RcppExports.cpp:983:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter >' RcppExports.cpp:995:79: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c create_new_models.cpp -o create_new_models.o In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/interpreter.h:4, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formula.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:5, from ../inst/include/rts/rtsmaths.h:3, from ../inst/include/rtsheader.h:3, from create_new_models.cpp:1: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:67: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 67 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:97: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 97 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:113: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 113 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:133: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 133 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:160: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 160 | #pragma omp parallel for collapse(2) | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:6: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1000: warning: ignoring '#pragma omp declare' [-Wunknown-pragmas] 1000 | #pragma omp declare reduction(vec_dbl_plus : std::vector : \ | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1051: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1051 | #pragma omp parallel for if(niter > 30) reduction(+:baccuml) reduction(vec_dbl_plus : dqf) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1084: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1084 | #pragma omp parallel for reduction(+:qf) reduction(vec_dbl_plus : dqf) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1160: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1160 | #pragma omp parallel for if(block_dimension > 50) private(out) | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelbits.hpp:5, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:8: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:318: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 318 | #pragma omp parallel for | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelbits.hpp:6: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:176: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 176 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:282: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 282 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:307: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 307 | #pragma omp parallel for private(idxlim) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:350: warning: ignoring '#pragma omp declare' [-Wunknown-pragmas] 350 | #pragma omp declare reduction(vec_dbl_plus : std::vector : \ | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:6: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:104: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 104 | #pragma omp parallel for shared(it_begin, i) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:733: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 733 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:847: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 847 | #pragma omp parallel for | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:7: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:73: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 73 | #pragma omp parallel for reduction (+:lp1) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:79: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 79 | #pragma omp parallel for reduction (+:lp1) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:87: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 87 | #pragma omp parallel for reduction (+:lp1) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:93: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 93 | #pragma omp parallel for reduction (+:lp2) | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:8: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:657: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 657 | #pragma omp parallel | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:924: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 924 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:933: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 933 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:943: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 943 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:965: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 965 | #pragma omp parallel for reduction (+:logl) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1118: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1118 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1195: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1195 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1211: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1211 | #pragma omp parallel for reduction (+:logl) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:155: warning: ignoring '#pragma omp declare' [-Wunknown-pragmas] 155 | #pragma omp declare reduction(vec_dbl_plus : std::vector : \ | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:309: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 309 | #pragma omp parallel for reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) private(m_result) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:327: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 327 | #pragma omp parallel for reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) private(m_result) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:337: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 337 | #pragma omp parallel for reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) private(m_result) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:358: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 358 | #pragma omp parallel for private(m_result0) reduction(+:d_result0) reduction(vec_dbl_plus:delta0) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:367: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 367 | #pragma omp parallel for private(m_result1) reduction(+:d_result1) reduction(vec_dbl_plus:delta1) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:394: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 394 | #pragma omp parallel for private(m_result) reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) collapse(2) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:418: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 418 | #pragma omp parallel for private(m_result) reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) collapse(2) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:434: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 434 | #pragma omp parallel for private(m_result) reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) collapse(2) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:463: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 463 | #pragma omp parallel for private(m_result0) reduction(+:d_result0) reduction(vec_dbl_plus:delta0) collapse(2) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:479: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 479 | #pragma omp parallel for private(m_result1) reduction(+:d_result1) reduction(vec_dbl_plus:delta1) collapse(2) | ../inst/include/rts/rtsmaths.h:12: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 12 | #pragma omp parallel for collapse(2) | In file included from ../inst/include/rts/rtsmodelbits.h:12, from ../inst/include/rts/rtsmodeloptim.h:4, from ../inst/include/rts/rtsmodel.h:11, from ../inst/include/rtsheader.h:4: ../inst/include/rts/ar1covariance.h:180: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 180 | #pragma omp parallel for reduction(+:logl) | ../inst/include/rts/ar1covariance.h:190: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 190 | #pragma omp parallel for reduction(+:val) | ../inst/include/rts/ar1covariance.h:227: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 227 | #pragma omp parallel for reduction(+:val) private(umat,vmat) | In file included from ../inst/include/rts/rtsmodelbits.h:13: ../inst/include/rts/nngpcovariance.h:116: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 116 | #pragma omp parallel for | ../inst/include/rts/nngpcovariance.h:276: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 276 | #pragma omp parallel for | ../inst/include/rts/nngpcovariance.h:327: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 327 | #pragma omp parallel for private(idxlim, tmp) | ../inst/include/rts/nngpcovariance.h:504: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 504 | #pragma omp parallel for reduction(+:ll1) private(au, av, qf1, idxlim) if(niter > 50) | In file included from ../inst/include/rts/rtsmodelbits.h:14: ../inst/include/rts/hsgpcovariance.h:214: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 214 | #pragma omp parallel for | ../inst/include/rts/rtsmodeloptim.h:137: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 137 | #pragma omp parallel for | ../inst/include/rts/rtsmodeloptim.h:282: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 282 | #pragma omp parallel | ../inst/include/rts/rtsmodeloptim.h:327: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 327 | #pragma omp parallel | ../inst/include/rts/rtsmodeloptim.h:373: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 373 | #pragma omp parallel | ../inst/include/rts/rtsmodeloptim.h:466: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 466 | #pragma omp parallel for reduction (+:logl) if(niter > 30) | ../inst/include/rts/rtsmodeloptim.h:550: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 550 | #pragma omp parallel for if(niter > 30) | In file included from ../inst/include/rts/rtsregionmodel.h:13, from ../inst/include/rtsheader.h:5: ../inst/include/rts/rtsregionmodeloptim.h:227: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 227 | #pragma omp parallel | ../inst/include/rts/rtsregionmodeloptim.h:354: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 354 | #pragma omp parallel | ../inst/include/rts/rtsregionmodeloptim.h:486: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 486 | #pragma omp parallel for reduction (+:logl) | ../inst/include/rts/rtsregionmodeloptim.h:585: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 585 | #pragma omp parallel for | ../inst/include/rts/rtsregionmodeloptim.h:593: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 593 | #pragma omp parallel for reduction (+:ll) collapse(2) | ../inst/include/rts/rtsregionmodeloptim.h:640: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 640 | #pragma omp parallel for reduction (+:logl) | In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigen.h:25, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h:10, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:3: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/SparseChol.h:3, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h:32: D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In function 'int clear_flag(int, int, intvec&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:145:7: warning: unused variable 'x' [-Wunused-variable] 145 | int x ; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:237:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:237:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In member function 'void sparse::insert(int, int, double)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:342:18: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 342 | if(Ap[row]+p >= Ai.size()){ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:349:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 349 | for(int i = row+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:361:18: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 361 | if(Ap[col]+p >= Ai.size()){ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:368:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 368 | for(int i = col+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In member function 'void sparse::transpose()': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:383:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 383 | for (int i = 2; i < B.Ap.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In member function 'sparse& sparse::operator+=(const sparse&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:415:10: warning: unused variable 'val' [-Wunused-variable] 415 | double val; | ^~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In member function 'void sparse::AMD_order()': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:625:10: warning: unused variable 'mem' [-Wunused-variable] 625 | double mem = 0; | ^~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:626:7: warning: unused variable 'nz' [-Wunused-variable] 626 | int nz = Ap.back(); | ^~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:815:19: warning: unused variable 'ilast' [-Wunused-variable] 815 | int deg, inext, ilast; | ^~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/SparseChol.h:4: D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h: In function 'dblvec operator*(const sparse&, const dblvec&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:12:10: warning: comparison of integer expressions of different signedness: 'const int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 12 | if(A.m != B.size())Rcpp::stop("wrong dimension in sparse-vector multiplication"); | ~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:14:10: warning: unused variable 'val' [-Wunused-variable] 14 | double val; | ^~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h: In member function 'sparse& sparse::operator%=(const dblvec&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:37:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 37 | for(int i = 0; i < Ax.size(); i++){ | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:65:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:144:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:148:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:149:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h: In function 'sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:174:31: warning: comparison of integer expressions of different signedness: 'unsigned int' and 'const int' [-Wsign-compare] 174 | for(unsigned int i = 0; i < A.m; i++){ | ~~^~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/aux_/na_assert.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/arg.hpp:25, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/placeholders.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_categories.hpp:16, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:10, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/random/hyperexponential_distribution.hpp:29, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/random.hpp:70, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h:43: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp: At global scope: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h: In function 'bool glmmr::is_number(const std::string&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h:247:11: warning: unused variable 'a' [-Wunused-variable] 247 | float a = std::stod(s); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:112:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:126:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:137:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:78:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:78:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:78:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:89:20: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:99:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:99:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:115:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:115:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:115:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:115:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:210:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:210:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:228:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:243:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:92: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:259:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:273:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:273:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:279:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:282:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:468:14: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:25:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp: In member function 'void glmmr::calculator::update_parameters(const dblvec&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:59:27: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 59 | if(parameters_in.size() < parameter_count)Rcpp::stop("Expecting "+std::to_string(parameter_count)+" parameters in calculator but got "+std::to_string(parameters_in.size())); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:61:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 61 | for(int i = 0; i < parameter_indexes.size(); i++)parameters[i] = parameters_in[parameter_indexes[i]]; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:172:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formulaparse.h:77:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formulaparse.h:208:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formula.hpp: In member function 'void glmmr::Formula::tokenise()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formula.hpp:127:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 127 | for(int i =0; i::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 345 | for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]); | ~~^~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:346:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 346 | for(int k = 0; k < fn_[j].size(); k++){ | ~~^~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp: In member function 'virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:590:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 590 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:653:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:681:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:791:84: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:95: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:96: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:96: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp: In member function 'strvec glmmr::Covariance::parameter_names()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:989:22: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'unsigned int' [-Wsign-compare] 989 | if(re_order_[j]==i){ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1046:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 2>, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1047:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:83: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 2>, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1056:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:108: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1078:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1092:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:67:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:123:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:186:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:215:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:215:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:153:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:216:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:216:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:106: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:357:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp: In member function 'void glmmr::hsgpCovariance::gen_indices()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:388:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 388 | for(int i = 0; i < indices_vec.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:389:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 389 | for(int j = 0; j < indices_vec[0].size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:407:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:407:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:409:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:409:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/griddata.hpp:11:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:5: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/griddata.hpp: In member function 'Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/griddata.hpp:36:19: warning: comparison of integer expressions of different signedness: 'std::priority_queue, std::vector >, glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 36 | if (pq.size() < n) | ~~~~~~~~~~^~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:166:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp: In member function 'virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:250:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 250 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp: In member function 'void glmmr::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:266:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 266 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:281:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:294:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:214: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:214: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:114: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:343:83: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:103: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:131: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp: In member function 'virtual Eigen::VectorXd glmmr::nngpCovariance::log_gradient(const Eigen::MatrixXd&, double&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:381:14: warning: unused variable 'av' [-Wunused-variable] 381 | double au, av, qf; | ^~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:69:20: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:72:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:93:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:97:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:167:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:168:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:57:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:365:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:365:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:365:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:365:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:366:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:457:81: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:457:94: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:457:95: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:457:95: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:472:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:472:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:478:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:478:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:514:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:132:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:132:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:133:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:12: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&, Eigen::Matrix&), LBFGS>::set_bounds(const Eigen::VectorXd&, const Eigen::VectorXd&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:431:20: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 431 | for(int i = 0; i < dim; i++) | ~~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&, Eigen::Matrix&), LBFGS>::set_bounds(const std::vector&, const std::vector&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:442:20: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 442 | for(int i = 0; i < dim; i++) | ~~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&, Eigen::Matrix&), LBFGS>::minimise()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:503:16: warning: unused variable 'a' [-Wunused-variable] 503 | double a = eval(current_values, g); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:213:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:493:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:495:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:495:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:555:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1265:116: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1342:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1342:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' ../inst/include/rts/rtsmaths.h:23:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/rts/ar1covariance.h:4: ../inst/include/rts/griddata.h: In member function 'Eigen::ArrayXi rts::griddata::top_i_pq(const Eigen::ArrayXd&, int)': ../inst/include/rts/griddata.h:62:19: warning: comparison of integer expressions of different signedness: 'std::priority_queue, std::vector >, rts::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 62 | if (pq.size() < n) | ~~~~~~~~~~^~~ ../inst/include/rts/ar1covariance.h: In member function 'virtual Eigen::VectorXd rts::ar1Covariance::log_gradient(const Eigen::MatrixXd&, double&)': ../inst/include/rts/ar1covariance.h:183:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 183 | for(int i = 1; i < derivs.size(); i++) | ~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>' ../inst/include/rts/ar1covariance.h:202:42: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>' ../inst/include/rts/ar1covariance.h:202:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/rts/nngpcovariance.h:375:83: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' ../inst/include/rts/nngpcovariance.h:375:83: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' ../inst/include/rts/nngpcovariance.h:375:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/rts/nngpcovariance.h:378:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/rts/nngpcovariance.h:423:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/rts/nngpcovariance.h: In member function 'Eigen::VectorXd rts::nngpCovariance::log_gradient_rho(const Eigen::MatrixXd&)': ../inst/include/rts/nngpcovariance.h:498:18: warning: unused variable 'qf1' [-Wunused-variable] 498 | double au, av, qf1; | ^~~ ../inst/include/rts/nngpcovariance.h: In member function 'virtual void rts::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/rts/nngpcovariance.h:581:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 581 | } else if(parameters_.size() == parameters.size()) | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/rts/nngpcovariance.h: In member function 'void rts::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)': ../inst/include/rts/nngpcovariance.h:595:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 595 | } else if(parameters_.size() == parameters.size()) | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, Eigen::Matrix, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, Eigen::Matrix, 0>' ../inst/include/rts/hsgpcovariance.h:273:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/rts/regionlinearpredictor.h:4, from ../inst/include/rts/rtsmodelbits.h:15: ../inst/include/rts/regiondata.h: In member function 'void rts::RegionData::setup_design_matrices()': ../inst/include/rts/regiondata.h:67:7: warning: unused variable 'nInter' [-Wunused-variable] 67 | int nInter, r, t, l, idx1; | ^~~~~~ ../inst/include/rts/regiondata.h:67:24: warning: unused variable 'idx1' [-Wunused-variable] 67 | int nInter, r, t, l, idx1; | ^~~~ ../inst/include/rts/regiondata.h: In member function 'Eigen::MatrixXd rts::RegionData::grid_to_region(const Eigen::MatrixXd&)': ../inst/include/rts/regiondata.h:115:7: warning: unused variable 'nInter' [-Wunused-variable] 115 | int nInter, r, t, l, j, idx1; | ^~~~~~ ../inst/include/rts/regiondata.h:115:27: warning: unused variable 'idx1' [-Wunused-variable] 115 | int nInter, r, t, l, j, idx1; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/rts/regionlinearpredictor.h:102:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/rts/regionlinearpredictor.h:103:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/rts/regionlinearpredictor.h:103:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ../inst/include/rts/regionlinearpredictor.h:103:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ../inst/include/rts/regionlinearpredictor.h:103:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/rts/regionlinearpredictor.h:111:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/rts/regionlinearpredictor.h:111:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/rts/regionlinearpredictor.h:125:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/rts/regionlinearpredictor.h:125:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/rts/regionlinearpredictor.h:125:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/rts/regionlinearpredictor.h:126:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/rts/regionlinearpredictor.h:128:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/rts/rtsmodelbits.h:88:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ../inst/include/rts/rtsmodeloptim.h:553:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > >' ../inst/include/rts/rtsmodeloptim.h:553:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/rts/rtsmodeloptim.h:554:20: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/rts/rtsmodeloptim.h:555:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>' ../inst/include/rts/rtsmodeloptim.h:555:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>' ../inst/include/rts/rtsmodeloptim.h:555:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/rts/rtsmodeloptim.h: In member function 'double rts::rtsModelOptim::log_likelihood_rho_with_gradient(const Eigen::VectorXd&, Eigen::VectorXd&) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]': ../inst/include/rts/rtsmodeloptim.h:545:14: warning: unused variable 'logl' [-Wunused-variable] 545 | double logl = 0; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/rts/rtsregionmodeloptim.h:628:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/rts/rtsregionmodel.h:477:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/rts/rtsregionmodel.h:477:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/rts/rtsregionmodel.h:479:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/rts/rtsregionmodel.h:479:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:277: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block, -1, -1, false>]' ../inst/include/rts/rtsregionmodel.h:492:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Matrix, 1>' ../inst/include/rts/rtsregionmodel.h:495:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1>' ../inst/include/rts/rtsregionmodel.h:495:99: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ../inst/include/rts/rtsregionmodel.h:499:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>' ../inst/include/rts/rtsregionmodel.h:499:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1>' ../inst/include/rts/rtsregionmodel.h:499:105: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ../inst/include/rts/rtsregionmodel.h:500:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:467:7: warning: unused variable 'R' [-Wunused-variable] 467 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:514:7: warning: unused variable 'R' [-Wunused-variable] 514 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:561:7: warning: unused variable 'R' [-Wunused-variable] 561 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:608:7: warning: unused variable 'R' [-Wunused-variable] 608 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:661:7: warning: unused variable 'R' [-Wunused-variable] 661 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:714:7: warning: unused variable 'R' [-Wunused-variable] 714 | int R = region.nRegion; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:555:41: required from 'Eigen::PartialPivLU::Scalar Eigen::PartialPivLU::determinant() const [with _MatrixType = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:241:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:4: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h: In instantiation of 'T glmmr::randomGaussian(T, Eigen::VectorXd&) [with T = boost::random::variate_generator, boost::random::normal_distribution<> >; Eigen::VectorXd = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:680:21: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:15:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 15 | for (size_t i = 0; i < res.size(); ++i) | ~~^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: required from 'struct Eigen::internal::evaluator > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8: required from 'struct Eigen::internal::evaluator >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:109:27: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:162:32: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from 'class Eigen::Ref, 0, Eigen::InnerStride<1> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:46, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigen.h:26: D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model >]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:31:36: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] 31 | delete obj; | ^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model >]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:31:59: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model >]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:31:82: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:594:36: required from 'ExpressionType& Eigen::VectorwiseOp::operator+=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; ExpressionType = Eigen::Matrix; int Direction = 0]' ../inst/include/rts/regionlinearpredictor.h:109:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:128:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:555:115: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = rts::nngpCovariance]': create_new_models.cpp:14:27: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'rts::nngpCovariance' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] 31 | delete obj; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:105:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:517:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:407:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:105:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:517:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:409:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/LineSearchNocedalWright.h:146:30: required from 'static void LBFGSpp::LineSearchNocedalWright::LineSearch(Foo&, const LBFGSpp::LBFGSParam&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:130:43: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:164:56: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:56: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:59: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:166:41: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:168:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:60:33: required from 'static void LBFGSpp::LBFGSBSolver::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:131:21: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:60:46: required from 'static void LBFGSpp::LBFGSBSolver::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:131:21: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:33: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:46: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:51: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:64: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:77:32: required from 'void LBFGSpp::BFGSMat::reset(int, int) [with Scalar = double; bool LBFGSB = true]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:196:29: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelbits.hpp:32:64: required from 'Eigen::ArrayXd glmmr::ModelBits::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:917:22: required from 'double glmmr::ModelOptim::log_likelihood(bool) [with modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:775:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:789:93: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:789:93: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: required from 'struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/rtsmaths.h:29:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:67:15: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 122 | for(j = 0; j < sigma_blocks.size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:67:15: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:102:109: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:67:15: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:166:95: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:58:145: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsregionmodel.h:260:74: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:58:145: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsregionmodel.h:332:74: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:58:145: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsregionmodel.h:404:71: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:140:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; OtherDerived = Eigen::Array; bool IsVector = false; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index) [with Derived = Eigen::Array; OtherDerived = Eigen::Array; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:79:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:126:35: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:93:43: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:51: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:70: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:73: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:47: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:83: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::InnerStride<1> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:41: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:44: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:412:31: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:423:25: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:423:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:423:61: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:423:73: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:102: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:427:47: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:104: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:432:112: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:432:72: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:431:88: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:441:50: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:441:37: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:25: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:29: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:555:115: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:555:115: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:42:18: required from 'void glmmr::MatrixW::update() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:18:47: required from 'glmmr::MatrixW::MatrixW(modeltype&) [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:64:157: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:57:36: required from 'void glmmr::MatrixW::update() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:18:47: required from 'glmmr::MatrixW::MatrixW(modeltype&) [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:64:157: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:58:32: required from 'void glmmr::MatrixW::update() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:18:47: required from 'glmmr::MatrixW::MatrixW(modeltype&) [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:64:157: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:58:60: required from 'void glmmr::MatrixW::update() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:18:47: required from 'glmmr::MatrixW::MatrixW(modeltype&) [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:64:157: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > >' ../inst/include/rts/rtsregionmodeloptim.h:626:60: required from 'Eigen::ArrayXXd rts::rtsRegionModelOptim::region_intensity(bool) [with modeltype = rts::rtsModelBits; Eigen::ArrayXXd = Eigen::Array]' ../inst/include/rts/rtsregionmodeloptim.h:611:10: required from 'Eigen::ArrayXXd rts::rtsRegionModelOptim::y_predicted(bool) [with modeltype = rts::rtsModelBits; Eigen::ArrayXXd = Eigen::Array]' ../inst/include/rts/rtsregionmodeloptim.h:578:17: required from 'double rts::rtsRegionModelOptim::log_likelihood(bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsregionmodeloptim.h:272:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:432:19: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:432:39: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:31: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:16: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:796:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Block, -1, -1, false>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:166:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:90:43: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:336:91: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:419:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:336:83: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:419:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:364:50: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:365:14: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:365:33: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:365:39: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:371:81: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:371:92: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:371:103: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:165:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:168:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:471:29: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:472:59: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:478:68: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:31: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>, -1, 1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:789:93: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:363:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:324:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:41: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:130: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Matrix; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Matrix; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Matrix; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:469:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:343:85: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:133: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:133: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/nngpcovariance.h:378:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/nngpcovariance.h:378:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:128:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::MatrixWrapper, const Eigen::Array > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::MatrixWrapper, const Eigen::Array > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array > >; Derived = Eigen::Block, -1, 1, false>]' ../inst/include/rts/rtsregionmodel.h:477:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:377:17: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::DiagonalWrapper, -1, 1, false> >; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::DiagonalWrapper, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::DiagonalWrapper, -1, 1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DiagonalShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::DiagonalWrapper, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, -1, 1, false> >; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/rts/rtsregionmodel.h:494:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:126:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formulaparse.h:281:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:791:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1087:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Array; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:69:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:72:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:164:56: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::InnerStride<1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Ref, 0, Eigen::InnerStride<1> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:86:32: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:508:49: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/rts/ar1covariance.h:197:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:330: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:357:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, 1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, 1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Block, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:341:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:215: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:126:35: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:93:43: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:75: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/rts/nngpcovariance.h:375:84: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:555:115: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:90:43: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:336:64: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:419:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:365:28: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:371:64: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:165:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:168:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/rtsregionmodel.h:472:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:172:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:172:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:333: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from 'Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:343:85: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:133: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29: required from 'static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Block, -1, -1, false>; OtherXpr = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:23: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/nngpcovariance.h:378:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 1; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:508:49: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper > >, 2, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::ArrayWrapper > >, 2, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::ArrayWrapper > >, 2, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:125:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > >, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Array >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Array >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:125:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/rtsregionmodel.h:472:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:23: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:23: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::ArrayWrapper > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::ArrayWrapper > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:125:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:186:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, 1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/nngpcovariance.h:423:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/regionlinearpredictor.h:103:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Array; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Array >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Array >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from 'PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_log_op; ArgType = const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1430:58: required from 'PacketType Eigen::internal::evaluator_wrapper_base::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; XprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/regionlinearpredictor.h:103:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/rtsregionmodel.h:472:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:57:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:161:5: required from 'Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:140:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:161:5: required from 'Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; OtherDerived = Eigen::Array; bool IsVector = false; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index) [with Derived = Eigen::Array; OtherDerived = Eigen::Array; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:79:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:23: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/regionlinearpredictor.h:103:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:186:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:357:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/nngpcovariance.h:423:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::ArrayWrapper > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::ArrayWrapper > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::ArrayWrapper > >, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:125:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>; Rhs = Eigen::Block, 1, -1, false>; Func = generic_product_impl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:186:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, -1, true> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/nngpcovariance.h:423:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Array; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/regionlinearpredictor.h:103:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:341:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, -1, true> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:431:78: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:215: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:215: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:431:78: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/rts/nngpcovariance.h:375:84: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:215: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:92: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 841 | for(int i = 0; i < beta.size(); i++) | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1121:39: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1121:42: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1121:70: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1126:29: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1127:29: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1131:23: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1140:42: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1159:45: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1167:63: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1251:42: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1335:56: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1340:32: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 841 | for(int i = 0; i < beta.size(); i++) | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:182:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 182 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:205:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 205 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:220:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 220 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:182:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 182 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:205:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 205 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:220:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 220 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:182:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 182 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:205:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 205 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:220:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 220 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:59:19: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 841 | for(int i = 0; i < beta.size(); i++) | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:59:19: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:59:19: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:577:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = rts::rtsModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1092:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:577:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = rts::rtsModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1092:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:69: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:98: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:678:91: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:686:49: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:68: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:112: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:705:45: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:705:68: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:718:61: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:738:60: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:754:44: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:754:88: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:141: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:789:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:789:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:91: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:68: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:105: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:131: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:104: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:125: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:128: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:68: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:152: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:178: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:822:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:103: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:113: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:68: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:115: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:141: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/IO.h:253:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1265:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:478:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:547:20: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:435:69: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:435:100: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:554:53: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:513:58: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:514:61: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:435:69: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:435:100: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:435:100: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:554:53: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:513:58: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:513:58: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:514:61: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:514:61: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1200:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1142:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1342:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:789:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1140:12: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1140:12: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1140:12: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:547:11: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1140:12: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1167:20: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1335:36: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1167:20: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:789:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:789:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_algo.h:201, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:15: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h: At global scope: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h:251:1: warning: 'int bobyqa(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*)' defined but not used [-Wunused-function] 251 | bobyqa(const INTEGER n, const INTEGER npt, | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp: In member function 'virtual int glmmr::Covariance::parse()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:313:83: warning: 'idx' may be used uninitialized [-Wmaybe-uninitialized] 313 | for(unsigned int m = 0; m < vals.size(); m++) vals[m] = data_(k,fnvars[idx][m]); | ^ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:236:22: note: 'idx' was declared here 236 | unsigned int j,k,idx,zcol; | ^~~ g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c model_module.cpp -o model_module.o In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/interpreter.h:4, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formula.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:5, from ../inst/include/rts/rtsmaths.h:3, from ../inst/include/rtsheader.h:3, from model_module.cpp:1: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:67: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 67 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:97: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 97 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:113: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 113 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:133: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 133 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:160: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 160 | #pragma omp parallel for collapse(2) | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:6: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1000: warning: ignoring '#pragma omp declare' [-Wunknown-pragmas] 1000 | #pragma omp declare reduction(vec_dbl_plus : std::vector : \ | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1051: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1051 | #pragma omp parallel for if(niter > 30) reduction(+:baccuml) reduction(vec_dbl_plus : dqf) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1084: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1084 | #pragma omp parallel for reduction(+:qf) reduction(vec_dbl_plus : dqf) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1160: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1160 | #pragma omp parallel for if(block_dimension > 50) private(out) | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelbits.hpp:5, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:8: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:318: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 318 | #pragma omp parallel for | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelbits.hpp:6: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:176: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 176 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:282: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 282 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:307: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 307 | #pragma omp parallel for private(idxlim) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:350: warning: ignoring '#pragma omp declare' [-Wunknown-pragmas] 350 | #pragma omp declare reduction(vec_dbl_plus : std::vector : \ | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:6: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:104: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 104 | #pragma omp parallel for shared(it_begin, i) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:733: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 733 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:847: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 847 | #pragma omp parallel for | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:7: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:73: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 73 | #pragma omp parallel for reduction (+:lp1) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:79: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 79 | #pragma omp parallel for reduction (+:lp1) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:87: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 87 | #pragma omp parallel for reduction (+:lp1) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:93: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 93 | #pragma omp parallel for reduction (+:lp2) | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:8: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:657: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 657 | #pragma omp parallel | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:924: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 924 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:933: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 933 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:943: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 943 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:965: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 965 | #pragma omp parallel for reduction (+:logl) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1118: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1118 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1195: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1195 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1211: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1211 | #pragma omp parallel for reduction (+:logl) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:155: warning: ignoring '#pragma omp declare' [-Wunknown-pragmas] 155 | #pragma omp declare reduction(vec_dbl_plus : std::vector : \ | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:309: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 309 | #pragma omp parallel for reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) private(m_result) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:327: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 327 | #pragma omp parallel for reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) private(m_result) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:337: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 337 | #pragma omp parallel for reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) private(m_result) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:358: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 358 | #pragma omp parallel for private(m_result0) reduction(+:d_result0) reduction(vec_dbl_plus:delta0) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:367: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 367 | #pragma omp parallel for private(m_result1) reduction(+:d_result1) reduction(vec_dbl_plus:delta1) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:394: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 394 | #pragma omp parallel for private(m_result) reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) collapse(2) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:418: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 418 | #pragma omp parallel for private(m_result) reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) collapse(2) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:434: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 434 | #pragma omp parallel for private(m_result) reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) collapse(2) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:463: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 463 | #pragma omp parallel for private(m_result0) reduction(+:d_result0) reduction(vec_dbl_plus:delta0) collapse(2) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:479: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 479 | #pragma omp parallel for private(m_result1) reduction(+:d_result1) reduction(vec_dbl_plus:delta1) collapse(2) | ../inst/include/rts/rtsmaths.h:12: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 12 | #pragma omp parallel for collapse(2) | In file included from ../inst/include/rts/rtsmodelbits.h:12, from ../inst/include/rts/rtsmodeloptim.h:4, from ../inst/include/rts/rtsmodel.h:11, from ../inst/include/rtsheader.h:4: ../inst/include/rts/ar1covariance.h:180: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 180 | #pragma omp parallel for reduction(+:logl) | ../inst/include/rts/ar1covariance.h:190: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 190 | #pragma omp parallel for reduction(+:val) | ../inst/include/rts/ar1covariance.h:227: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 227 | #pragma omp parallel for reduction(+:val) private(umat,vmat) | In file included from ../inst/include/rts/rtsmodelbits.h:13: ../inst/include/rts/nngpcovariance.h:116: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 116 | #pragma omp parallel for | ../inst/include/rts/nngpcovariance.h:276: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 276 | #pragma omp parallel for | ../inst/include/rts/nngpcovariance.h:327: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 327 | #pragma omp parallel for private(idxlim, tmp) | ../inst/include/rts/nngpcovariance.h:504: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 504 | #pragma omp parallel for reduction(+:ll1) private(au, av, qf1, idxlim) if(niter > 50) | In file included from ../inst/include/rts/rtsmodelbits.h:14: ../inst/include/rts/hsgpcovariance.h:214: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 214 | #pragma omp parallel for | ../inst/include/rts/rtsmodeloptim.h:137: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 137 | #pragma omp parallel for | ../inst/include/rts/rtsmodeloptim.h:282: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 282 | #pragma omp parallel | ../inst/include/rts/rtsmodeloptim.h:327: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 327 | #pragma omp parallel | ../inst/include/rts/rtsmodeloptim.h:373: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 373 | #pragma omp parallel | ../inst/include/rts/rtsmodeloptim.h:466: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 466 | #pragma omp parallel for reduction (+:logl) if(niter > 30) | ../inst/include/rts/rtsmodeloptim.h:550: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 550 | #pragma omp parallel for if(niter > 30) | In file included from ../inst/include/rts/rtsregionmodel.h:13, from ../inst/include/rtsheader.h:5: ../inst/include/rts/rtsregionmodeloptim.h:227: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 227 | #pragma omp parallel | ../inst/include/rts/rtsregionmodeloptim.h:354: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 354 | #pragma omp parallel | ../inst/include/rts/rtsregionmodeloptim.h:486: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 486 | #pragma omp parallel for reduction (+:logl) | ../inst/include/rts/rtsregionmodeloptim.h:585: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 585 | #pragma omp parallel for | ../inst/include/rts/rtsregionmodeloptim.h:593: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 593 | #pragma omp parallel for reduction (+:ll) collapse(2) | ../inst/include/rts/rtsregionmodeloptim.h:640: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 640 | #pragma omp parallel for reduction (+:logl) | In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigen.h:25, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h:10, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:3: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/SparseChol.h:3, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h:32: D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In function 'int clear_flag(int, int, intvec&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:145:7: warning: unused variable 'x' [-Wunused-variable] 145 | int x ; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:237:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:237:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In member function 'void sparse::insert(int, int, double)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:342:18: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 342 | if(Ap[row]+p >= Ai.size()){ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:349:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 349 | for(int i = row+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:361:18: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 361 | if(Ap[col]+p >= Ai.size()){ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:368:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 368 | for(int i = col+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In member function 'void sparse::transpose()': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:383:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 383 | for (int i = 2; i < B.Ap.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In member function 'sparse& sparse::operator+=(const sparse&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:415:10: warning: unused variable 'val' [-Wunused-variable] 415 | double val; | ^~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In member function 'void sparse::AMD_order()': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:625:10: warning: unused variable 'mem' [-Wunused-variable] 625 | double mem = 0; | ^~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:626:7: warning: unused variable 'nz' [-Wunused-variable] 626 | int nz = Ap.back(); | ^~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:815:19: warning: unused variable 'ilast' [-Wunused-variable] 815 | int deg, inext, ilast; | ^~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/SparseChol.h:4: D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h: In function 'dblvec operator*(const sparse&, const dblvec&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:12:10: warning: comparison of integer expressions of different signedness: 'const int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 12 | if(A.m != B.size())Rcpp::stop("wrong dimension in sparse-vector multiplication"); | ~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:14:10: warning: unused variable 'val' [-Wunused-variable] 14 | double val; | ^~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h: In member function 'sparse& sparse::operator%=(const dblvec&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:37:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 37 | for(int i = 0; i < Ax.size(); i++){ | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:65:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:144:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:148:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:149:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h: In function 'sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:174:31: warning: comparison of integer expressions of different signedness: 'unsigned int' and 'const int' [-Wsign-compare] 174 | for(unsigned int i = 0; i < A.m; i++){ | ~~^~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/aux_/na_assert.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/arg.hpp:25, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/placeholders.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_categories.hpp:16, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:10, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/random/hyperexponential_distribution.hpp:29, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/random.hpp:70, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h:43: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp: At global scope: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h: In function 'bool glmmr::is_number(const std::string&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h:247:11: warning: unused variable 'a' [-Wunused-variable] 247 | float a = std::stod(s); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:112:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:126:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:137:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:78:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:78:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:78:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:89:20: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:99:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:99:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:115:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:115:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:115:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:115:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:210:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:210:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:228:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:243:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:92: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:259:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:273:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:273:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:279:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:282:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:468:14: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:25:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp: In member function 'void glmmr::calculator::update_parameters(const dblvec&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:59:27: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 59 | if(parameters_in.size() < parameter_count)Rcpp::stop("Expecting "+std::to_string(parameter_count)+" parameters in calculator but got "+std::to_string(parameters_in.size())); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:61:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 61 | for(int i = 0; i < parameter_indexes.size(); i++)parameters[i] = parameters_in[parameter_indexes[i]]; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:172:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formulaparse.h:77:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formulaparse.h:208:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formula.hpp: In member function 'void glmmr::Formula::tokenise()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formula.hpp:127:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 127 | for(int i =0; i::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 345 | for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]); | ~~^~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:346:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 346 | for(int k = 0; k < fn_[j].size(); k++){ | ~~^~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp: In member function 'virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:590:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 590 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:653:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:681:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:791:84: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:95: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:96: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:96: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp: In member function 'strvec glmmr::Covariance::parameter_names()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:989:22: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'unsigned int' [-Wsign-compare] 989 | if(re_order_[j]==i){ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1046:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 2>, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1047:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:83: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 2>, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1056:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:108: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1078:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1092:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:67:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:123:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:186:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:215:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:215:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:153:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:216:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:216:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:106: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:357:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp: In member function 'void glmmr::hsgpCovariance::gen_indices()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:388:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 388 | for(int i = 0; i < indices_vec.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:389:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 389 | for(int j = 0; j < indices_vec[0].size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:407:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:407:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:409:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:409:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/griddata.hpp:11:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:5: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/griddata.hpp: In member function 'Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/griddata.hpp:36:19: warning: comparison of integer expressions of different signedness: 'std::priority_queue, std::vector >, glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 36 | if (pq.size() < n) | ~~~~~~~~~~^~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:166:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp: In member function 'virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:250:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 250 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp: In member function 'void glmmr::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:266:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 266 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:281:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:294:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:214: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:214: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:114: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:343:83: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:103: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:131: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp: In member function 'virtual Eigen::VectorXd glmmr::nngpCovariance::log_gradient(const Eigen::MatrixXd&, double&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:381:14: warning: unused variable 'av' [-Wunused-variable] 381 | double au, av, qf; | ^~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:69:20: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:72:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:93:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:97:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:167:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:168:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:57:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:365:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:365:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:365:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:365:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:366:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:457:81: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:457:94: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:457:95: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:457:95: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:472:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:472:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:478:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:478:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:514:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:132:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:132:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:133:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:12: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&, Eigen::Matrix&), LBFGS>::set_bounds(const Eigen::VectorXd&, const Eigen::VectorXd&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:431:20: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 431 | for(int i = 0; i < dim; i++) | ~~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&, Eigen::Matrix&), LBFGS>::set_bounds(const std::vector&, const std::vector&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:442:20: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 442 | for(int i = 0; i < dim; i++) | ~~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&, Eigen::Matrix&), LBFGS>::minimise()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:503:16: warning: unused variable 'a' [-Wunused-variable] 503 | double a = eval(current_values, g); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:213:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:493:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:495:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:495:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:555:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1265:116: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1342:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1342:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' ../inst/include/rts/rtsmaths.h:23:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/rts/ar1covariance.h:4: ../inst/include/rts/griddata.h: In member function 'Eigen::ArrayXi rts::griddata::top_i_pq(const Eigen::ArrayXd&, int)': ../inst/include/rts/griddata.h:62:19: warning: comparison of integer expressions of different signedness: 'std::priority_queue, std::vector >, rts::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 62 | if (pq.size() < n) | ~~~~~~~~~~^~~ ../inst/include/rts/ar1covariance.h: In member function 'virtual Eigen::VectorXd rts::ar1Covariance::log_gradient(const Eigen::MatrixXd&, double&)': ../inst/include/rts/ar1covariance.h:183:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 183 | for(int i = 1; i < derivs.size(); i++) | ~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>' ../inst/include/rts/ar1covariance.h:202:42: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>' ../inst/include/rts/ar1covariance.h:202:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/rts/nngpcovariance.h:375:83: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' ../inst/include/rts/nngpcovariance.h:375:83: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' ../inst/include/rts/nngpcovariance.h:375:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/rts/nngpcovariance.h:378:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/rts/nngpcovariance.h:423:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/rts/nngpcovariance.h: In member function 'Eigen::VectorXd rts::nngpCovariance::log_gradient_rho(const Eigen::MatrixXd&)': ../inst/include/rts/nngpcovariance.h:498:18: warning: unused variable 'qf1' [-Wunused-variable] 498 | double au, av, qf1; | ^~~ ../inst/include/rts/nngpcovariance.h: In member function 'virtual void rts::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/rts/nngpcovariance.h:581:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 581 | } else if(parameters_.size() == parameters.size()) | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/rts/nngpcovariance.h: In member function 'void rts::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)': ../inst/include/rts/nngpcovariance.h:595:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 595 | } else if(parameters_.size() == parameters.size()) | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, Eigen::Matrix, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, Eigen::Matrix, 0>' ../inst/include/rts/hsgpcovariance.h:273:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/rts/regionlinearpredictor.h:4, from ../inst/include/rts/rtsmodelbits.h:15: ../inst/include/rts/regiondata.h: In member function 'void rts::RegionData::setup_design_matrices()': ../inst/include/rts/regiondata.h:67:7: warning: unused variable 'nInter' [-Wunused-variable] 67 | int nInter, r, t, l, idx1; | ^~~~~~ ../inst/include/rts/regiondata.h:67:24: warning: unused variable 'idx1' [-Wunused-variable] 67 | int nInter, r, t, l, idx1; | ^~~~ ../inst/include/rts/regiondata.h: In member function 'Eigen::MatrixXd rts::RegionData::grid_to_region(const Eigen::MatrixXd&)': ../inst/include/rts/regiondata.h:115:7: warning: unused variable 'nInter' [-Wunused-variable] 115 | int nInter, r, t, l, j, idx1; | ^~~~~~ ../inst/include/rts/regiondata.h:115:27: warning: unused variable 'idx1' [-Wunused-variable] 115 | int nInter, r, t, l, j, idx1; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/rts/regionlinearpredictor.h:102:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/rts/regionlinearpredictor.h:103:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/rts/regionlinearpredictor.h:103:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ../inst/include/rts/regionlinearpredictor.h:103:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ../inst/include/rts/regionlinearpredictor.h:103:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/rts/regionlinearpredictor.h:111:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/rts/regionlinearpredictor.h:111:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/rts/regionlinearpredictor.h:125:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/rts/regionlinearpredictor.h:125:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/rts/regionlinearpredictor.h:125:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/rts/regionlinearpredictor.h:126:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/rts/regionlinearpredictor.h:128:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/rts/rtsmodelbits.h:88:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ../inst/include/rts/rtsmodeloptim.h:553:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > >' ../inst/include/rts/rtsmodeloptim.h:553:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/rts/rtsmodeloptim.h:554:20: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/rts/rtsmodeloptim.h:555:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>' ../inst/include/rts/rtsmodeloptim.h:555:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>' ../inst/include/rts/rtsmodeloptim.h:555:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/rts/rtsmodeloptim.h: In member function 'double rts::rtsModelOptim::log_likelihood_rho_with_gradient(const Eigen::VectorXd&, Eigen::VectorXd&) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]': ../inst/include/rts/rtsmodeloptim.h:545:14: warning: unused variable 'logl' [-Wunused-variable] 545 | double logl = 0; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/rts/rtsregionmodeloptim.h:628:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/rts/rtsregionmodel.h:477:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/rts/rtsregionmodel.h:477:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/rts/rtsregionmodel.h:479:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/rts/rtsregionmodel.h:479:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:277: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block, -1, -1, false>]' ../inst/include/rts/rtsregionmodel.h:492:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Matrix, 1>' ../inst/include/rts/rtsregionmodel.h:495:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1>' ../inst/include/rts/rtsregionmodel.h:495:99: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ../inst/include/rts/rtsregionmodel.h:499:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>' ../inst/include/rts/rtsregionmodel.h:499:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1>' ../inst/include/rts/rtsregionmodel.h:499:105: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ../inst/include/rts/rtsregionmodel.h:500:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:467:7: warning: unused variable 'R' [-Wunused-variable] 467 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:514:7: warning: unused variable 'R' [-Wunused-variable] 514 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:561:7: warning: unused variable 'R' [-Wunused-variable] 561 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:608:7: warning: unused variable 'R' [-Wunused-variable] 608 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:661:7: warning: unused variable 'R' [-Wunused-variable] 661 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:714:7: warning: unused variable 'R' [-Wunused-variable] 714 | int R = region.nRegion; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:555:41: required from 'Eigen::PartialPivLU::Scalar Eigen::PartialPivLU::determinant() const [with _MatrixType = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:241:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:4: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h: In instantiation of 'T glmmr::randomGaussian(T, Eigen::VectorXd&) [with T = boost::random::variate_generator, boost::random::normal_distribution<> >; Eigen::VectorXd = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:680:21: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:15:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 15 | for (size_t i = 0; i < res.size(); ++i) | ~~^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: required from 'struct Eigen::internal::evaluator > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8: required from 'struct Eigen::internal::evaluator >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:109:27: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:162:32: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from 'class Eigen::Ref, 0, Eigen::InnerStride<1> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:46, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigen.h:26: D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model >]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:31:36: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] 31 | delete obj; | ^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model >]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:31:59: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model >]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:31:82: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:594:36: required from 'ExpressionType& Eigen::VectorwiseOp::operator+=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; ExpressionType = Eigen::Matrix; int Direction = 0]' ../inst/include/rts/regionlinearpredictor.h:109:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:128:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:555:115: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:105:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:517:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:407:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:105:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:517:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:409:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/LineSearchNocedalWright.h:146:30: required from 'static void LBFGSpp::LineSearchNocedalWright::LineSearch(Foo&, const LBFGSpp::LBFGSParam&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:130:43: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:164:56: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:56: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:59: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:166:41: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:168:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:60:33: required from 'static void LBFGSpp::LBFGSBSolver::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:131:21: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:60:46: required from 'static void LBFGSpp::LBFGSBSolver::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:131:21: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:33: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:46: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:51: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:64: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:77:32: required from 'void LBFGSpp::BFGSMat::reset(int, int) [with Scalar = double; bool LBFGSB = true]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:196:29: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelbits.hpp:32:64: required from 'Eigen::ArrayXd glmmr::ModelBits::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:917:22: required from 'double glmmr::ModelOptim::log_likelihood(bool) [with modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:775:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:789:93: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:789:93: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: required from 'struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/rtsmaths.h:29:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:67:15: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 122 | for(j = 0; j < sigma_blocks.size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:67:15: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:102:109: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:67:15: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:166:95: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:58:145: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsregionmodel.h:260:74: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:58:145: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsregionmodel.h:332:74: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:58:145: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsregionmodel.h:404:71: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_theta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:125:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsmodeloptim.h:166:10: warning: unused variable 'old_ll' [-Wunused-variable] 166 | double old_ll = this->log_likelihood_theta(start); | ^~~~~~ ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_theta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:128:46: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsmodeloptim.h:166:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsmodeloptim.h:166:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_theta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:134:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsmodeloptim.h:166:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_theta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:125:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsmodeloptim.h:166:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_theta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:128:46: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsmodeloptim.h:166:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsmodeloptim.h:166:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_theta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:134:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsmodeloptim.h:166:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_theta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:125:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsmodeloptim.h:166:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_theta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:128:46: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsmodeloptim.h:166:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsmodeloptim.h:166:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_theta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:134:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsmodeloptim.h:166:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:125:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] 106 | double old_ll = this->log_likelihood_theta(start); | ^~~~~~ ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:128:46: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:134:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:125:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:128:46: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:134:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:125:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:128:46: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:134:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:125:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:128:46: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:134:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:125:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:128:46: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:134:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:125:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:128:46: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_theta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:134:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:106:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_beta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:150:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsmodeloptim.h:46:10: warning: unused variable 'old_ll' [-Wunused-variable] 46 | double old_ll = this->log_likelihood_beta(start); | ^~~~~~ ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_beta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:153:45: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsmodeloptim.h:46:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_beta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:156:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsmodeloptim.h:46:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_beta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:159:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsmodeloptim.h:46:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_beta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:150:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsmodeloptim.h:46:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_beta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:153:45: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsmodeloptim.h:46:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_beta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:156:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsmodeloptim.h:46:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_beta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:159:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsmodeloptim.h:46:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_beta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:150:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsmodeloptim.h:46:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_beta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:153:45: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsmodeloptim.h:46:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_beta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:156:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsmodeloptim.h:46:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsmodeloptim.h: In instantiation of 'void rts::rtsModelOptim::ml_beta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:159:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsmodeloptim.h:46:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:150:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] 56 | double old_ll = this->log_likelihood_beta(start); | ^~~~~~ ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:153:45: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:156:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:159:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:150:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:153:45: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:156:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:159:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:150:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:153:45: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:156:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:159:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:150:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:153:45: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:156:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:159:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:150:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:153:45: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:156:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:159:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:150:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = LBFGS; = void; modeltype = rts::rtsModelBits]': model_module.cpp:153:45: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]': model_module.cpp:156:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] ../inst/include/rts/rtsregionmodeloptim.h: In instantiation of 'void rts::rtsRegionModelOptim::ml_beta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]': model_module.cpp:159:46: required from 'rtsModel__ml_beta(SEXP, int, int, int):: [with auto:38 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here ../inst/include/rts/rtsregionmodeloptim.h:56:10: warning: unused variable 'old_ll' [-Wunused-variable] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1109:18: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' model_module.cpp:197:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1121:39: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' model_module.cpp:197:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1121:42: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' model_module.cpp:197:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1121:70: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' model_module.cpp:197:38: required from 'rtsModel__nr_beta(SEXP, int, int):: [with auto:40 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1126:29: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' model_module.cpp:197:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1127:29: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' model_module.cpp:197:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1131:23: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' model_module.cpp:197:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1140:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1159:45: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' model_module.cpp:207:48: required from 'rtsModel__laplace_nr_beta_u(SEXP, int, int):: [with auto:41 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1167:63: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:140:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; OtherDerived = Eigen::Array; bool IsVector = false; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index) [with Derived = Eigen::Array; OtherDerived = Eigen::Array; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:79:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:126:35: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:93:43: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:51: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:70: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:73: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:47: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:83: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::InnerStride<1> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:41: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:44: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:412:31: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:423:25: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:423:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:423:61: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:423:73: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:102: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:427:47: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:104: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:432:112: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:432:72: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:431:88: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:441:50: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:441:37: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:25: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:29: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:555:115: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:555:115: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:57:36: required from 'void glmmr::MatrixW::update() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:18:47: required from 'glmmr::MatrixW::MatrixW(modeltype&) [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:64:157: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:58:32: required from 'void glmmr::MatrixW::update() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:18:47: required from 'glmmr::MatrixW::MatrixW(modeltype&) [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:64:157: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:58:60: required from 'void glmmr::MatrixW::update() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:18:47: required from 'glmmr::MatrixW::MatrixW(modeltype&) [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:64:157: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > >' ../inst/include/rts/rtsregionmodeloptim.h:626:60: required from 'Eigen::ArrayXXd rts::rtsRegionModelOptim::region_intensity(bool) [with modeltype = rts::rtsModelBits; Eigen::ArrayXXd = Eigen::Array]' ../inst/include/rts/rtsregionmodeloptim.h:611:10: required from 'Eigen::ArrayXXd rts::rtsRegionModelOptim::y_predicted(bool) [with modeltype = rts::rtsModelBits; Eigen::ArrayXXd = Eigen::Array]' ../inst/include/rts/rtsregionmodeloptim.h:578:17: required from 'double rts::rtsRegionModelOptim::log_likelihood(bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsregionmodeloptim.h:272:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In instantiation of 'void optim&), NEWUOA>::minimise() [with T = double]': ../inst/include/rts/rtsmodeloptim.h:206:16: required from 'void rts::rtsModelOptim::ml_theta() [with algo = NEWUOA; = void; modeltype = rts::rtsModelBits]' model_module.cpp:125:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:340:23: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 340 | for(int i = 0; i< dim; i++) lower_bound[i] = R_NegInf; | ~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:344:23: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 344 | for(int i = 0; i< dim; i++)upper_bound[i] = R_PosInf; | ~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:354:12: warning: unused variable 'result' [-Wunused-variable] 354 | double result = newuoa_closure( &closure, dim, control.npt, current_values.data(), control.rhobeg, control.rhoend, control.maxfun, w.data(), &fn_counter); | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In instantiation of 'void optim&), BOBYQA>::minimise() [with T = double]': ../inst/include/rts/rtsmodeloptim.h:206:16: required from 'void rts::rtsModelOptim::ml_theta() [with algo = BOBYQA; = void; modeltype = rts::rtsModelBits]' model_module.cpp:134:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:163:23: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 163 | for(int i = 0; i< dim; i++) lower_bound[i] = R_NegInf; | ~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:167:23: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 167 | for(int i = 0; i< dim; i++)upper_bound[i] = R_PosInf; | ~^~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>' ../inst/include/rts/rtsmodeloptim.h:142:65: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:577:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = rts::rtsModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1092:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:69: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:98: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' model_module.cpp:207:48: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:678:91: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:686:49: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:112: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' model_module.cpp:207:48: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:705:45: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:705:68: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:718:61: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:738:60: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:754:44: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:754:88: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:141: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' model_module.cpp:207:48: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:789:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:789:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' model_module.cpp:207:48: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:91: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:105: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:131: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' model_module.cpp:207:48: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:104: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:125: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' model_module.cpp:207:48: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:128: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:152: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:178: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' model_module.cpp:207:48: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:822:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:103: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:113: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' model_module.cpp:207:48: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:115: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:141: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' model_module.cpp:207:48: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:432:19: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:432:39: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:31: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:16: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:796:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Block, -1, -1, false>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:166:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:90:43: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:336:91: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:419:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:336:83: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:419:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:364:50: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:365:14: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:365:33: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:365:39: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:371:81: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:371:92: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:371:103: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:165:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:168:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:471:29: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:472:59: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:478:68: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:31: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>, -1, 1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:789:93: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:363:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In instantiation of 'std::pair Rectangle::longest_side() [with T = double]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:748:51: required from 'void optim&), DIRECT>::set_bounds(const std::vector&, const std::vector&, bool) [with T = double]' ../inst/include/rts/rtsmodeloptim.h:189:20: required from 'void rts::rtsModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]' model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:668:23: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 668 | for(size_t i = 0; i < dim; i++){ | ~~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In instantiation of 'std::vector optim&), DIRECT>::transform(const std::vector&) [with T = double]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:785:27: required from 'void optim&), DIRECT>::minimise() [with T = double]' ../inst/include/rts/rtsmodeloptim.h:206:16: required from 'void rts::rtsModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]' model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:891:20: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 891 | for(int i = 0; i < dim; i++){ | ~~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In instantiation of 'std::vector Rectangle::centroid() [with T = double]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:785:60: required from 'void optim&), DIRECT>::minimise() [with T = double]' ../inst/include/rts/rtsmodeloptim.h:206:16: required from 'void rts::rtsModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]' model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:631:23: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 631 | for(size_t i = 0; i < dim; i++){ | ~~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In instantiation of 'void optim&), DIRECT>::divide_rectangles() [with T = double]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:810:5: required from 'void optim&), DIRECT>::minimise() [with T = double]' ../inst/include/rts/rtsmodeloptim.h:206:16: required from 'void rts::rtsModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]' model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:1071:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector, std::default_delete > >, std::allocator, std::default_delete > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 1071 | for(int i = 0; i < new_rectangles.size(); i++) rects.push_back(std::move(new_rectangles[i])); | ~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:324:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:41: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:130: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Matrix; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Matrix; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Matrix; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:469:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:343:85: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:133: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:133: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/nngpcovariance.h:378:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/nngpcovariance.h:378:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:128:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::MatrixWrapper, const Eigen::Array > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::MatrixWrapper, const Eigen::Array > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array > >; Derived = Eigen::Block, -1, 1, false>]' ../inst/include/rts/rtsregionmodel.h:477:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:377:17: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::DiagonalWrapper, -1, 1, false> >; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::DiagonalWrapper, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::DiagonalWrapper, -1, 1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DiagonalShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::DiagonalWrapper, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, -1, 1, false> >; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/rts/rtsregionmodel.h:494:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In instantiation of 'std::vector Rectangle::centroid(const size_t&, const T&) [with T = double; size_t = long long unsigned int]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:1019:41: required from 'void optim&), DIRECT>::divide_rectangles() [with T = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:810:5: required from 'void optim&), DIRECT>::minimise() [with T = double]' ../inst/include/rts/rtsmodeloptim.h:206:16: required from 'void rts::rtsModelOptim::ml_theta() [with algo = DIRECT; = void; modeltype = rts::rtsModelBits]' model_module.cpp:131:47: required from 'rtsModel__ml_theta(SEXP, int, int, int):: [with auto:37 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_theta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_theta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:139:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:648:23: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 648 | for(size_t i = 0; i < dim; i++){ | ~~^~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:126:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formulaparse.h:281:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:791:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1087:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Array; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:69:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:72:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:164:56: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::InnerStride<1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Ref, 0, Eigen::InnerStride<1> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:86:32: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:508:49: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/rts/ar1covariance.h:197:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:330: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:357:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, 1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, 1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Block, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:341:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:215: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:126:35: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:93:43: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:75: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/rts/nngpcovariance.h:375:84: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:555:115: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1200:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1142:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' model_module.cpp:197:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:90:43: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:336:64: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:419:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:365:28: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:371:64: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:165:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:168:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/rtsregionmodel.h:472:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:172:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:172:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:333: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from 'Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:343:85: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:133: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29: required from 'static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Block, -1, -1, false>; OtherXpr = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:23: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/nngpcovariance.h:378:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 1; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:508:49: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper > >, 2, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::ArrayWrapper > >, 2, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::ArrayWrapper > >, 2, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:125:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > >, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Array >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Array >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:125:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/rtsregionmodel.h:472:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:23: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:23: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::ArrayWrapper > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::ArrayWrapper > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:125:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:186:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, 1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/nngpcovariance.h:423:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/regionlinearpredictor.h:103:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Array; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Array >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Array >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from 'PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_log_op; ArgType = const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1430:58: required from 'PacketType Eigen::internal::evaluator_wrapper_base::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; XprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/regionlinearpredictor.h:103:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/rtsregionmodel.h:472:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:57:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:161:5: required from 'Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:140:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:161:5: required from 'Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; OtherDerived = Eigen::Array; bool IsVector = false; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index) [with Derived = Eigen::Array; OtherDerived = Eigen::Array; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:79:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:23: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/regionlinearpredictor.h:103:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:186:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:357:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/nngpcovariance.h:423:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::ArrayWrapper > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::ArrayWrapper > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::ArrayWrapper > >, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:125:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__nr_beta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__nr_beta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:199:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>; Rhs = Eigen::Block, 1, -1, false>; Func = generic_product_impl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:186:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, -1, true> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/nngpcovariance.h:423:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Array; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/regionlinearpredictor.h:103:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:341:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, -1, true> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ml_beta(SEXP, int, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ml_beta(SEXP, int, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:164:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:431:78: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:215: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:215: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:431:78: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/rts/nngpcovariance.h:375:84: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__laplace_nr_beta_u(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:209:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:215: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:92: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 841 | for(int i = 0; i < beta.size(); i++) | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1251:42: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1335:56: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1340:32: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 841 | for(int i = 0; i < beta.size(); i++) | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:182:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 182 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:205:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 205 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:220:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 220 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:182:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 182 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:205:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 205 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:220:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 220 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:182:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 182 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:205:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 205 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:220:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 220 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:59:19: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 841 | for(int i = 0; i < beta.size(); i++) | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:59:19: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:59:19: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/IO.h:253:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1265:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:478:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:547:20: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:435:69: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:435:100: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:554:53: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:513:58: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:514:61: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:435:69: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:435:100: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:435:100: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:554:53: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:513:58: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:513:58: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:514:61: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:514:61: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1342:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:547:11: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1335:36: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:424:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:503:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:425:12: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:416:10: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_algo.h:201, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:15: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h: In function 'int bobyqb(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*, double*, double*, double*, double*, double*, double*, double*, double*, long int, double*, double*, double*, double*, double*, double*, double*)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h:1955:18: warning: 'ihp' may be used uninitialized [-Wmaybe-uninitialized] 1955 | INTEGER i, ih, ihp, ihq, ip, iq, iw, j, jp, jpn, k, knew, kold, kpt, | ^~~ In function 'void rescue(long int, long int, double (*)(long int, const double*, void*), void*, const double*, const double*, long int, long int, double*, double*, double*, double*, double*, double*, double*, double*, double*, long int, double*, double*, long int*, double, long int*, double*, double*, double*, double*)', inlined from 'int bobyqb(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*, double*, double*, double*, double*, double*, double*, double*, double*, long int, double*, double*, double*, double*, double*, double*, double*)' at D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h:707:9: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h:2303:19: warning: 'xq' may be used uninitialized [-Wmaybe-uninitialized] 2303 | temp += xq*XPT(k,iq); | ^ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h: In function 'int bobyqb(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*, double*, double*, double*, double*, double*, double*, double*, double*, long int, double*, double*, double*, double*, double*, double*, double*)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h:1954:55: note: 'xq' was declared here 1954 | sfrac, sum, sumpq, temp, vlmxsq, vquad, winc, xp, xq; | ^~ In function 'void rescue(long int, long int, double (*)(long int, const double*, void*), void*, const double*, const double*, long int, long int, double*, double*, double*, double*, double*, double*, double*, double*, double*, long int, double*, double*, long int*, double, long int*, double*, double*, double*, double*)', inlined from 'int bobyqb(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*, double*, double*, double*, double*, double*, double*, double*, double*, long int, double*, double*, double*, double*, double*, double*, double*)' at D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h:707:9: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h:2294:20: warning: 'xp' may be used uninitialized [-Wmaybe-uninitialized] 2294 | vquad += xp*xq*hq[iw]; | ~~^~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h: In function 'int bobyqb(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*, double*, double*, double*, double*, double*, double*, double*, double*, long int, double*, double*, double*, double*, double*, double*, double*)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h:1954:51: note: 'xp' was declared here 1954 | sfrac, sum, sumpq, temp, vlmxsq, vquad, winc, xp, xq; | ^~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_algobase.h:64, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\string:50, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\locale_classes.h:40, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\ios_base.h:41, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\streambuf:41, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\streambuf_iterator.h:35, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\iterator:66, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigenForward.h:25: In member function 'std::pair<_T1, _T2>& std::pair<_T1, _T2>::operator=(std::__conditional_t, std::is_move_assignable<_T2> >::value, std::pair<_T1, _T2>&&, std::__nonesuch&&>) [with _T1 = double; _T2 = long long unsigned int]', inlined from 'void optim&), DIRECT>::set_bounds(const std::vector&, const std::vector&, bool) [with T = double]' at D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:748:23: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_pair.h:585:16: warning: 'which_dim' may be used uninitialized [-Wmaybe-uninitialized] 585 | second = std::forward(__p.second); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&), DIRECT>::set_bounds(const std::vector&, const std::vector&, bool) [with T = double]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:667:10: note: 'which_dim' was declared here 667 | size_t which_dim; | ^~~~~~~~~ In member function 'std::pair<_T1, _T2>& std::pair<_T1, _T2>::operator=(std::__conditional_t, std::is_move_assignable<_T2> >::value, std::pair<_T1, _T2>&&, std::__nonesuch&&>) [with _T1 = double; _T2 = long long unsigned int]', inlined from 'void optim&), DIRECT>::divide_rectangles() [with T = double]' at D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:1063:29: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_pair.h:585:16: warning: 'which_dim' may be used uninitialized [-Wmaybe-uninitialized] 585 | second = std::forward(__p.second); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&), DIRECT>::divide_rectangles() [with T = double]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:667:10: note: 'which_dim' was declared here 667 | size_t which_dim; | ^~~~~~~~~ In member function 'std::pair<_T1, _T2>& std::pair<_T1, _T2>::operator=(std::__conditional_t, std::is_move_assignable<_T2> >::value, std::pair<_T1, _T2>&&, std::__nonesuch&&>) [with _T1 = double; _T2 = long long unsigned int]', inlined from 'void optim&), DIRECT>::divide_rectangles() [with T = double]' at D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:1050:31: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_pair.h:585:16: warning: 'which_dim' may be used uninitialized [-Wmaybe-uninitialized] 585 | second = std::forward(__p.second); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&), DIRECT>::divide_rectangles() [with T = double]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:667:10: note: 'which_dim' was declared here 667 | size_t which_dim; | ^~~~~~~~~ In member function 'std::pair<_T1, _T2>& std::pair<_T1, _T2>::operator=(std::__conditional_t, std::is_move_assignable<_T2> >::value, std::pair<_T1, _T2>&&, std::__nonesuch&&>) [with _T1 = double; _T2 = long long unsigned int]', inlined from 'void optim&), DIRECT>::divide_rectangles() [with T = double]' at D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:1037:31: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_pair.h:585:16: warning: 'which_dim' may be used uninitialized [-Wmaybe-uninitialized] 585 | second = std::forward(__p.second); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&), DIRECT>::divide_rectangles() [with T = double]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:667:10: note: 'which_dim' was declared here 667 | size_t which_dim; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp: In member function 'virtual int glmmr::Covariance::parse()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:313:83: warning: 'idx' may be used uninitialized [-Wmaybe-uninitialized] 313 | for(unsigned int m = 0; m < vals.size(); m++) vals[m] = data_(k,fnvars[idx][m]); | ^ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:236:22: note: 'idx' was declared here 236 | unsigned int j,k,idx,zcol; | ^~~ g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c model_module_extension.cpp -o model_module_extension.o In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/interpreter.h:4, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formula.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:5, from ../inst/include/rts/rtsmaths.h:3, from ../inst/include/rtsheader.h:3, from model_module_extension.cpp:1: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:67: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 67 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:97: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 97 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:113: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 113 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:133: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 133 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:160: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 160 | #pragma omp parallel for collapse(2) | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:6: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1000: warning: ignoring '#pragma omp declare' [-Wunknown-pragmas] 1000 | #pragma omp declare reduction(vec_dbl_plus : std::vector : \ | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1051: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1051 | #pragma omp parallel for if(niter > 30) reduction(+:baccuml) reduction(vec_dbl_plus : dqf) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1084: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1084 | #pragma omp parallel for reduction(+:qf) reduction(vec_dbl_plus : dqf) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1160: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1160 | #pragma omp parallel for if(block_dimension > 50) private(out) | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelbits.hpp:5, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:8: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:318: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 318 | #pragma omp parallel for | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelbits.hpp:6: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:176: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 176 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:282: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 282 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:307: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 307 | #pragma omp parallel for private(idxlim) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:350: warning: ignoring '#pragma omp declare' [-Wunknown-pragmas] 350 | #pragma omp declare reduction(vec_dbl_plus : std::vector : \ | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:6: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:104: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 104 | #pragma omp parallel for shared(it_begin, i) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:733: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 733 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:847: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 847 | #pragma omp parallel for | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:7: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:73: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 73 | #pragma omp parallel for reduction (+:lp1) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:79: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 79 | #pragma omp parallel for reduction (+:lp1) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:87: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 87 | #pragma omp parallel for reduction (+:lp1) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:93: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 93 | #pragma omp parallel for reduction (+:lp2) | In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:8: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:657: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 657 | #pragma omp parallel | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:924: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 924 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:933: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 933 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:943: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 943 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:965: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 965 | #pragma omp parallel for reduction (+:logl) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1118: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1118 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1195: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1195 | #pragma omp parallel for | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1211: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 1211 | #pragma omp parallel for reduction (+:logl) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:155: warning: ignoring '#pragma omp declare' [-Wunknown-pragmas] 155 | #pragma omp declare reduction(vec_dbl_plus : std::vector : \ | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:309: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 309 | #pragma omp parallel for reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) private(m_result) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:327: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 327 | #pragma omp parallel for reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) private(m_result) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:337: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 337 | #pragma omp parallel for reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) private(m_result) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:358: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 358 | #pragma omp parallel for private(m_result0) reduction(+:d_result0) reduction(vec_dbl_plus:delta0) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:367: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 367 | #pragma omp parallel for private(m_result1) reduction(+:d_result1) reduction(vec_dbl_plus:delta1) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:394: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 394 | #pragma omp parallel for private(m_result) reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) collapse(2) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:418: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 418 | #pragma omp parallel for private(m_result) reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) collapse(2) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:434: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 434 | #pragma omp parallel for private(m_result) reduction(+:d_result) reduction(vec_dbl_plus:delta_vec) collapse(2) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:463: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 463 | #pragma omp parallel for private(m_result0) reduction(+:d_result0) reduction(vec_dbl_plus:delta0) collapse(2) | D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:479: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 479 | #pragma omp parallel for private(m_result1) reduction(+:d_result1) reduction(vec_dbl_plus:delta1) collapse(2) | ../inst/include/rts/rtsmaths.h:12: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 12 | #pragma omp parallel for collapse(2) | In file included from ../inst/include/rts/rtsmodelbits.h:12, from ../inst/include/rts/rtsmodeloptim.h:4, from ../inst/include/rts/rtsmodel.h:11, from ../inst/include/rtsheader.h:4: ../inst/include/rts/ar1covariance.h:180: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 180 | #pragma omp parallel for reduction(+:logl) | ../inst/include/rts/ar1covariance.h:190: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 190 | #pragma omp parallel for reduction(+:val) | ../inst/include/rts/ar1covariance.h:227: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 227 | #pragma omp parallel for reduction(+:val) private(umat,vmat) | In file included from ../inst/include/rts/rtsmodelbits.h:13: ../inst/include/rts/nngpcovariance.h:116: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 116 | #pragma omp parallel for | ../inst/include/rts/nngpcovariance.h:276: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 276 | #pragma omp parallel for | ../inst/include/rts/nngpcovariance.h:327: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 327 | #pragma omp parallel for private(idxlim, tmp) | ../inst/include/rts/nngpcovariance.h:504: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 504 | #pragma omp parallel for reduction(+:ll1) private(au, av, qf1, idxlim) if(niter > 50) | In file included from ../inst/include/rts/rtsmodelbits.h:14: ../inst/include/rts/hsgpcovariance.h:214: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 214 | #pragma omp parallel for | ../inst/include/rts/rtsmodeloptim.h:137: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 137 | #pragma omp parallel for | ../inst/include/rts/rtsmodeloptim.h:282: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 282 | #pragma omp parallel | ../inst/include/rts/rtsmodeloptim.h:327: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 327 | #pragma omp parallel | ../inst/include/rts/rtsmodeloptim.h:373: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 373 | #pragma omp parallel | ../inst/include/rts/rtsmodeloptim.h:466: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 466 | #pragma omp parallel for reduction (+:logl) if(niter > 30) | ../inst/include/rts/rtsmodeloptim.h:550: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 550 | #pragma omp parallel for if(niter > 30) | In file included from ../inst/include/rts/rtsregionmodel.h:13, from ../inst/include/rtsheader.h:5: ../inst/include/rts/rtsregionmodeloptim.h:227: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 227 | #pragma omp parallel | ../inst/include/rts/rtsregionmodeloptim.h:354: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 354 | #pragma omp parallel | ../inst/include/rts/rtsregionmodeloptim.h:486: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 486 | #pragma omp parallel for reduction (+:logl) | ../inst/include/rts/rtsregionmodeloptim.h:585: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 585 | #pragma omp parallel for | ../inst/include/rts/rtsregionmodeloptim.h:593: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 593 | #pragma omp parallel for reduction (+:ll) collapse(2) | ../inst/include/rts/rtsregionmodeloptim.h:640: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas] 640 | #pragma omp parallel for reduction (+:logl) | In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigen.h:25, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h:10, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:3: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/SparseChol.h:3, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h:32: D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In function 'int clear_flag(int, int, intvec&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:145:7: warning: unused variable 'x' [-Wunused-variable] 145 | int x ; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:237:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:237:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In member function 'void sparse::insert(int, int, double)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:342:18: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 342 | if(Ap[row]+p >= Ai.size()){ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:349:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 349 | for(int i = row+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:361:18: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 361 | if(Ap[col]+p >= Ai.size()){ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:368:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 368 | for(int i = col+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In member function 'void sparse::transpose()': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:383:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 383 | for (int i = 2; i < B.Ap.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In member function 'sparse& sparse::operator+=(const sparse&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:415:10: warning: unused variable 'val' [-Wunused-variable] 415 | double val; | ^~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h: In member function 'void sparse::AMD_order()': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:625:10: warning: unused variable 'mem' [-Wunused-variable] 625 | double mem = 0; | ^~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:626:7: warning: unused variable 'nz' [-Wunused-variable] 626 | int nz = Ap.back(); | ^~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/sparsematrix.h:815:19: warning: unused variable 'ilast' [-Wunused-variable] 815 | int deg, inext, ilast; | ^~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/SparseChol.h:4: D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h: In function 'dblvec operator*(const sparse&, const dblvec&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:12:10: warning: comparison of integer expressions of different signedness: 'const int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 12 | if(A.m != B.size())Rcpp::stop("wrong dimension in sparse-vector multiplication"); | ~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:14:10: warning: unused variable 'val' [-Wunused-variable] 14 | double val; | ^~~ D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h: In member function 'sparse& sparse::operator%=(const dblvec&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:37:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 37 | for(int i = 0; i < Ax.size(); i++){ | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:65:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:144:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:148:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:149:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h: In function 'sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)': D:/RCompile/CRANpkg/lib/4.4/SparseChol/include/operators.h:174:31: warning: comparison of integer expressions of different signedness: 'unsigned int' and 'const int' [-Wsign-compare] 174 | for(unsigned int i = 0; i < A.m; i++){ | ~~^~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/aux_/na_assert.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/arg.hpp:25, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/placeholders.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_categories.hpp:16, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:10, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/random/hyperexponential_distribution.hpp:29, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/random.hpp:70, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h:43: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp: At global scope: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h: In function 'bool glmmr::is_number(const std::string&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/general.h:247:11: warning: unused variable 'a' [-Wunused-variable] 247 | float a = std::stod(s); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:112:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:126:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:137:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:78:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:78:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:78:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:89:20: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:99:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:99:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:115:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:115:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:115:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:115:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:210:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:210:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:228:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:243:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:92: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:259:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:273:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:273:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:279:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:282:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:468:14: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:25:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp: In member function 'void glmmr::calculator::update_parameters(const dblvec&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:59:27: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 59 | if(parameters_in.size() < parameter_count)Rcpp::stop("Expecting "+std::to_string(parameter_count)+" parameters in calculator but got "+std::to_string(parameters_in.size())); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:61:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 61 | for(int i = 0; i < parameter_indexes.size(); i++)parameters[i] = parameters_in[parameter_indexes[i]]; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:172:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formulaparse.h:77:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formulaparse.h:208:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formula.hpp: In member function 'void glmmr::Formula::tokenise()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formula.hpp:127:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 127 | for(int i =0; i::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 345 | for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]); | ~~^~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:346:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 346 | for(int k = 0; k < fn_[j].size(); k++){ | ~~^~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp: In member function 'virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:590:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 590 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:653:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:681:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:791:84: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:95: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:96: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:96: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp: In member function 'strvec glmmr::Covariance::parameter_names()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:989:22: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'unsigned int' [-Wsign-compare] 989 | if(re_order_[j]==i){ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1046:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 2>, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1047:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:83: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 2>, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1056:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:108: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1078:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1092:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:67:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:123:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:186:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:215:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:215:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:153:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:216:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:216:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:106: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:250:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:357:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp: In member function 'void glmmr::hsgpCovariance::gen_indices()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:388:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 388 | for(int i = 0; i < indices_vec.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:389:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 389 | for(int j = 0; j < indices_vec[0].size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:407:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:407:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:409:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:409:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/griddata.hpp:11:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:5: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/griddata.hpp: In member function 'Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/griddata.hpp:36:19: warning: comparison of integer expressions of different signedness: 'std::priority_queue, std::vector >, glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 36 | if (pq.size() < n) | ~~~~~~~~~~^~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:166:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp: In member function 'virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:250:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 250 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp: In member function 'void glmmr::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:266:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 266 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:281:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:294:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:214: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:214: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:114: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:343:83: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:103: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:131: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp: In member function 'virtual Eigen::VectorXd glmmr::nngpCovariance::log_gradient(const Eigen::MatrixXd&, double&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:381:14: warning: unused variable 'av' [-Wunused-variable] 381 | double au, av, qf; | ^~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:69:20: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:72:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:93:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:97:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:167:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:168:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:57:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:357:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:365:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:365:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:365:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:365:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:366:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:457:81: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:457:94: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:457:95: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:457:95: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:472:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:472:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:478:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:478:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:514:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:132:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:132:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmcmc.hpp:133:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:12: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&, Eigen::Matrix&), LBFGS>::set_bounds(const Eigen::VectorXd&, const Eigen::VectorXd&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:431:20: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 431 | for(int i = 0; i < dim; i++) | ~~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&, Eigen::Matrix&), LBFGS>::set_bounds(const std::vector&, const std::vector&)': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:442:20: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 442 | for(int i = 0; i < dim; i++) | ~~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h: In member function 'void optim&, Eigen::Matrix&), LBFGS>::minimise()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:503:16: warning: unused variable 'a' [-Wunused-variable] 503 | double a = eval(current_values, g); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:213:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:493:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:495:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:495:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:555:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1265:116: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1342:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1342:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' ../inst/include/rts/rtsmaths.h:23:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/rts/ar1covariance.h:4: ../inst/include/rts/griddata.h: In member function 'Eigen::ArrayXi rts::griddata::top_i_pq(const Eigen::ArrayXd&, int)': ../inst/include/rts/griddata.h:62:19: warning: comparison of integer expressions of different signedness: 'std::priority_queue, std::vector >, rts::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 62 | if (pq.size() < n) | ~~~~~~~~~~^~~ ../inst/include/rts/ar1covariance.h: In member function 'virtual Eigen::VectorXd rts::ar1Covariance::log_gradient(const Eigen::MatrixXd&, double&)': ../inst/include/rts/ar1covariance.h:183:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 183 | for(int i = 1; i < derivs.size(); i++) | ~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>' ../inst/include/rts/ar1covariance.h:202:42: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>' ../inst/include/rts/ar1covariance.h:202:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/rts/nngpcovariance.h:375:83: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' ../inst/include/rts/nngpcovariance.h:375:83: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >' ../inst/include/rts/nngpcovariance.h:375:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/rts/nngpcovariance.h:378:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/rts/nngpcovariance.h:423:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/rts/nngpcovariance.h: In member function 'Eigen::VectorXd rts::nngpCovariance::log_gradient_rho(const Eigen::MatrixXd&)': ../inst/include/rts/nngpcovariance.h:498:18: warning: unused variable 'qf1' [-Wunused-variable] 498 | double au, av, qf1; | ^~~ ../inst/include/rts/nngpcovariance.h: In member function 'virtual void rts::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/rts/nngpcovariance.h:581:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 581 | } else if(parameters_.size() == parameters.size()) | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/rts/nngpcovariance.h: In member function 'void rts::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)': ../inst/include/rts/nngpcovariance.h:595:32: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 595 | } else if(parameters_.size() == parameters.size()) | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, Eigen::Matrix, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, Eigen::Matrix, 0>' ../inst/include/rts/hsgpcovariance.h:273:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/rts/regionlinearpredictor.h:4, from ../inst/include/rts/rtsmodelbits.h:15: ../inst/include/rts/regiondata.h: In member function 'void rts::RegionData::setup_design_matrices()': ../inst/include/rts/regiondata.h:67:7: warning: unused variable 'nInter' [-Wunused-variable] 67 | int nInter, r, t, l, idx1; | ^~~~~~ ../inst/include/rts/regiondata.h:67:24: warning: unused variable 'idx1' [-Wunused-variable] 67 | int nInter, r, t, l, idx1; | ^~~~ ../inst/include/rts/regiondata.h: In member function 'Eigen::MatrixXd rts::RegionData::grid_to_region(const Eigen::MatrixXd&)': ../inst/include/rts/regiondata.h:115:7: warning: unused variable 'nInter' [-Wunused-variable] 115 | int nInter, r, t, l, j, idx1; | ^~~~~~ ../inst/include/rts/regiondata.h:115:27: warning: unused variable 'idx1' [-Wunused-variable] 115 | int nInter, r, t, l, j, idx1; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/rts/regionlinearpredictor.h:102:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/rts/regionlinearpredictor.h:103:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/rts/regionlinearpredictor.h:103:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ../inst/include/rts/regionlinearpredictor.h:103:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ../inst/include/rts/regionlinearpredictor.h:103:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/rts/regionlinearpredictor.h:111:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/rts/regionlinearpredictor.h:111:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/rts/regionlinearpredictor.h:125:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/rts/regionlinearpredictor.h:125:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/rts/regionlinearpredictor.h:125:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/rts/regionlinearpredictor.h:126:50: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/rts/regionlinearpredictor.h:128:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/rts/rtsmodelbits.h:88:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ../inst/include/rts/rtsmodeloptim.h:553:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > >' ../inst/include/rts/rtsmodeloptim.h:553:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/rts/rtsmodeloptim.h:554:20: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/rts/rtsmodeloptim.h:555:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>' ../inst/include/rts/rtsmodeloptim.h:555:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>' ../inst/include/rts/rtsmodeloptim.h:555:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/rts/rtsmodeloptim.h: In member function 'double rts::rtsModelOptim::log_likelihood_rho_with_gradient(const Eigen::VectorXd&, Eigen::VectorXd&) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]': ../inst/include/rts/rtsmodeloptim.h:545:14: warning: unused variable 'logl' [-Wunused-variable] 545 | double logl = 0; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/rts/rtsregionmodeloptim.h:628:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/rts/rtsregionmodel.h:477:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/rts/rtsregionmodel.h:477:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/rts/rtsregionmodel.h:479:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/rts/rtsregionmodel.h:479:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:277: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block, -1, -1, false>]' ../inst/include/rts/rtsregionmodel.h:492:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Matrix, 1>' ../inst/include/rts/rtsregionmodel.h:495:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1>' ../inst/include/rts/rtsregionmodel.h:495:99: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ../inst/include/rts/rtsregionmodel.h:499:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>' ../inst/include/rts/rtsregionmodel.h:499:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper, -1, 1, false> >, 1>' ../inst/include/rts/rtsregionmodel.h:499:105: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ../inst/include/rts/rtsregionmodel.h:500:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:467:7: warning: unused variable 'R' [-Wunused-variable] 467 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:514:7: warning: unused variable 'R' [-Wunused-variable] 514 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:561:7: warning: unused variable 'R' [-Wunused-variable] 561 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:608:7: warning: unused variable 'R' [-Wunused-variable] 608 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:661:7: warning: unused variable 'R' [-Wunused-variable] 661 | int R = region.nRegion; | ^ ../inst/include/rts/rtsregionmodel.h: In member function 'Eigen::MatrixXd rts::rtsRegionModel >::intersection_infomat()': ../inst/include/rts/rtsregionmodel.h:714:7: warning: unused variable 'R' [-Wunused-variable] 714 | int R = region.nRegion; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:555:41: required from 'Eigen::PartialPivLU::Scalar Eigen::PartialPivLU::determinant() const [with _MatrixType = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:241:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:4: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h: In instantiation of 'T glmmr::randomGaussian(T, Eigen::VectorXd&) [with T = boost::random::variate_generator, boost::random::normal_distribution<> >; Eigen::VectorXd = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:680:21: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:15:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 15 | for (size_t i = 0; i < res.size(); ++i) | ~~^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: required from 'struct Eigen::internal::evaluator > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8: required from 'struct Eigen::internal::evaluator >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:109:27: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:162:32: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from 'class Eigen::Ref, 0, Eigen::InnerStride<1> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:46, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigen.h:26: D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model >]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:31:36: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] 31 | delete obj; | ^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model >]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:31:59: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model >]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr.h:31:82: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:594:36: required from 'ExpressionType& Eigen::VectorwiseOp::operator+=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; ExpressionType = Eigen::Matrix; int Direction = 0]' ../inst/include/rts/regionlinearpredictor.h:109:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:128:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:555:115: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, -1, 1, true> > >' ../inst/include/rts/rtsregionmodeloptim.h:626:60: required from 'Eigen::ArrayXXd rts::rtsRegionModelOptim::region_intensity(bool) [with modeltype = rts::rtsModelBits; Eigen::ArrayXXd = Eigen::Array]' model_module_extension.cpp:343:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:105:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:517:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:407:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:105:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:517:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:409:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/LineSearchNocedalWright.h:146:30: required from 'static void LBFGSpp::LineSearchNocedalWright::LineSearch(Foo&, const LBFGSpp::LBFGSParam&, const Vector&, const Vector&, const Scalar&, Scalar&, Scalar&, Vector&, Scalar&, Vector&) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:130:43: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:164:56: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:56: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:59: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:166:41: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:168:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:60:33: required from 'static void LBFGSpp::LBFGSBSolver::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:131:21: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:60:46: required from 'static void LBFGSpp::LBFGSBSolver::force_bounds(Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:131:21: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:33: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:46: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:51: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:64: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:77:32: required from 'void LBFGSpp::BFGSMat::reset(int, int) [with Scalar = double; bool LBFGSB = true]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:196:29: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelbits.hpp:32:64: required from 'Eigen::ArrayXd glmmr::ModelBits::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:917:22: required from 'double glmmr::ModelOptim::log_likelihood(bool) [with modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:775:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:789:93: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:789:93: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: required from 'struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/rtsmaths.h:29:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:67:15: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 122 | for(j = 0; j < sigma_blocks.size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:67:15: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:102:109: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:67:15: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:166:95: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:58:145: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsregionmodel.h:260:74: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:58:145: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsregionmodel.h:332:74: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = rts::rtsModelBits]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:58:145: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsregionmodel.h:404:71: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:122:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::set_bound(const dblvec&, bool) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': model_module_extension.cpp:125:41: required from 'rtsModel__set_bound(SEXP, int, int, SEXP, bool):: [with auto:34 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_extension.cpp:127:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:993:18: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 993 | if(bound.size()!=P())Rcpp::stop("Bound not equal to number of parameters"); | ~~~~~~~~~~~~^~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::set_bound(const dblvec&, bool) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': model_module_extension.cpp:125:41: required from 'rtsModel__set_bound(SEXP, int, int, SEXP, bool):: [with auto:34 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_extension.cpp:127:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:993:18: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::set_bound(const dblvec&, bool) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': model_module_extension.cpp:125:41: required from 'rtsModel__set_bound(SEXP, int, int, SEXP, bool):: [with auto:34 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_extension.cpp:127:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:993:18: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::set_bound(const dblvec&, bool) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': model_module_extension.cpp:125:41: required from 'rtsModel__set_bound(SEXP, int, int, SEXP, bool):: [with auto:34 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_extension.cpp:127:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:993:18: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::set_bound(const dblvec&, bool) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': model_module_extension.cpp:125:41: required from 'rtsModel__set_bound(SEXP, int, int, SEXP, bool):: [with auto:34 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_extension.cpp:127:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:993:18: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::set_bound(const dblvec&, bool) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': model_module_extension.cpp:125:41: required from 'rtsModel__set_bound(SEXP, int, int, SEXP, bool):: [with auto:34 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: required by substitution of 'template static std::__result_of_success()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2570:55: required from 'struct std::__result_of_impl, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__set_bound(SEXP, int, int, SEXP, bool):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_extension.cpp:127:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:993:18: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:140:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; OtherDerived = Eigen::Array; bool IsVector = false; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index) [with Derived = Eigen::Array; OtherDerived = Eigen::Array; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:79:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:126:35: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:93:43: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:51: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:70: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:73: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:47: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:83: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::InnerStride<1> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:41: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:44: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:412:31: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:423:25: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:423:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:423:61: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:423:73: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:102: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:427:47: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:104: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:432:112: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:432:72: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:431:88: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:441:50: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:441:37: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:25: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:29: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:555:115: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:555:115: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:42:18: required from 'void glmmr::MatrixW::update() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:18:47: required from 'glmmr::MatrixW::MatrixW(modeltype&) [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:64:157: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:57:36: required from 'void glmmr::MatrixW::update() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:18:47: required from 'glmmr::MatrixW::MatrixW(modeltype&) [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:64:157: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:58:32: required from 'void glmmr::MatrixW::update() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:18:47: required from 'glmmr::MatrixW::MatrixW(modeltype&) [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:64:157: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:58:60: required from 'void glmmr::MatrixW::update() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/matrixw.hpp:18:47: required from 'glmmr::MatrixW::MatrixW(modeltype&) [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:64:157: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = rts::rtsModelBits]' ../inst/include/rts/rtsmodel.h:38:80: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:372:68: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_theta() [with modeltype = rts::rtsModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_extension.cpp:331:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:372:99: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_theta() [with modeltype = rts::rtsModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_extension.cpp:331:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:432:19: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:432:39: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:31: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:16: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:796:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Block, -1, -1, false>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:166:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:90:43: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:336:91: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:419:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:336:83: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:419:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:364:50: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:365:14: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:365:33: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:365:39: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:371:81: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:371:92: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:371:103: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:165:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:168:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:471:29: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:472:59: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:478:68: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:31: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>, -1, 1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:789:93: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:363:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:77:40: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = rts::rtsModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:88:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = rts::rtsModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:337:16: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:324:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:41: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:130: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Matrix; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Matrix; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Matrix; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:469:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:343:85: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:133: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:133: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/nngpcovariance.h:378:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/nngpcovariance.h:378:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:128:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::MatrixWrapper, const Eigen::Array > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::MatrixWrapper, const Eigen::Array > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array > >; Derived = Eigen::Block, -1, 1, false>]' ../inst/include/rts/rtsregionmodel.h:477:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:377:17: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::DiagonalWrapper, -1, 1, false> >; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::DiagonalWrapper, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::DiagonalWrapper, -1, 1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DiagonalShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::DiagonalWrapper, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, -1, 1, false> >; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/rts/rtsregionmodel.h:494:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:126:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/formulaparse.h:281:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:791:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1087:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Array; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Array; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:69:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:72:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:164:56: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::InnerStride<1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Ref, 0, Eigen::InnerStride<1> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:86:32: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:508:49: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/rts/ar1covariance.h:197:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:495:43: required from 'double glmmr::ModelOptim::ll_diff_variance(bool, bool) [with modeltype = rts::rtsModelBits]' model_module_extension.cpp:85:52: required from 'rtsModel__ll_diff_variance(SEXP, bool, bool, int, int):: [with auto:31 = Rcpp::XPtr > >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2559:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__ll_diff_variance(SEXP, bool, bool, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__ll_diff_variance(SEXP, bool, bool, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__ll_diff_variance(SEXP, bool, bool, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__ll_diff_variance(SEXP, bool, bool, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__ll_diff_variance(SEXP, bool, bool, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, VectorMatrix, MatrixMatrix, CorrectionData, CorrectionData, CorrectionData, CorrectionData, vector, allocator > >, pair, BoxResults, pair >]' model_module_extension.cpp:88:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:330: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1, -1, false> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:232:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:357:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, 1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, 1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Block, -1, -1, false>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Block, -1, -1, false>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Block, -1, -1, false>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, -1, false>, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, -1, false>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Block, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:341:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:215: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:126:35: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:93:43: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:67:75: required from 'static Scalar LBFGSpp::LBFGSBSolver::proj_grad_norm(const Vector&, const Vector&, const Vector&, const Vector&) [with Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:141:37: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/rts/nngpcovariance.h:375:84: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Transpose, -1, 1, true> >, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/rts/rtsmodeloptim.h:555:115: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:792:98: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:90:43: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:336:64: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:419:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:365:28: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:371:64: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:423:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:145:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:165:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:168:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/rtsregionmodel.h:472:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:172:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:172:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:333: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:158:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from 'Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:343:85: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:344:133: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:223:29: required from 'static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Block, -1, -1, false>; OtherXpr = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:23: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::Matrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/nngpcovariance.h:378:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 1; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:336:48: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BKLDLT.h:508:49: required from 'void LBFGSpp::BKLDLT::solve_inplace(GenericVector) const [with Scalar = double; GenericVector = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:249:36: required from 'void LBFGSpp::BFGSMat::apply_Mv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:160:22: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true> >, 1, -1, true>, Eigen::Block, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper > >, 2, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::ArrayWrapper > >, 2, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::ArrayWrapper > >, 2, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:125:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > >, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Array >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Array >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:125:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/rtsregionmodel.h:472:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:23: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:23: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::ArrayWrapper > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::ArrayWrapper > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:125:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:186:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, 1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:96:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/nngpcovariance.h:423:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/regionlinearpredictor.h:103:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Array; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Array >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Array >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from 'PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_log_op; ArgType = const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1430:58: required from 'PacketType Eigen::internal::evaluator_wrapper_base::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; XprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/regionlinearpredictor.h:103:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/rtsregionmodel.h:472:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/rts/rtsregionmodel.h:504:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:57:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:161:5: required from 'Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:140:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:161:5: required from 'Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; OtherDerived = Eigen::Array; bool IsVector = false; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index) [with Derived = Eigen::Array; OtherDerived = Eigen::Array; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/calculator.hpp:79:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:469:23: required from 'bool LBFGSpp::BFGSMat::apply_PtBQv(const Matrix&, const IndexSet&, const Vector&, Vector&, bool) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:240:48: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/regionlinearpredictor.h:103:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:186:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:357:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/nngpcovariance.h:423:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::ArrayWrapper > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::ArrayWrapper > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::ArrayWrapper > >, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename Eigen::internal::traits >::Scalar = double; typename OtherDerived::Scalar = double]' ../inst/include/rts/regionlinearpredictor.h:125:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/algo.h:144:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>; Rhs = Eigen::Block, 1, -1, false>; Func = generic_product_impl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, 1>; RhsType = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Block, -1, 1, true>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1054:107: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:269:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 6]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:195:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, true> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:196:37: required from 'void LBFGSpp::BFGSMat::apply_Wtv(const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/Cauchy.h:155:23: required from 'static void LBFGSpp::Cauchy::get_cauchy_point(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, Vector&, Vector&, IndexSet&, IndexSet&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:157:41: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:393:27: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:240:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/linearpredictor.hpp:186:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:112:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs.h:165:38: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchNocedalWright; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:491:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:353:23: required from 'bool LBFGSpp::BFGSMat::apply_PtWMv(const Matrix&, const Vector&, Vector&, const Scalar&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:398:20: required from 'void LBFGSpp::BFGSMat::compute_FtBAb(const Matrix&, const IndexSet&, const IndexSet&, const Vector&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; IndexSet = std::vector; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:151:27: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, -1, true> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/nngpcovariance.h:423:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Array; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/rts/regionlinearpredictor.h:103:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:330:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/randomeffects.hpp:98:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Src = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:197:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = swap_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:341:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, -1, true> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, true> >, Eigen::Block, -1, -1, true>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, -1, true>, 0> >; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:426:59: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/hsgpcovariance.hpp:400:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:431:78: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:215: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Block, -1, -1, false>, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1059:112: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:1096:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:215: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false> >, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:422:58: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> > >; ExpressionType = Eigen::Block, -1, 1, true>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/BFGSMat.h:431:78: required from 'void LBFGSpp::BFGSMat::solve_PtBP(const Matrix&, const Vector&, Vector&) const [with Scalar = double; bool LBFGSB = true; Matrix = Eigen::Matrix; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgs/SubspaceMin.h:163:24: required from 'static void LBFGSpp::SubspaceMin::subspace_minimize(const LBFGSpp::BFGSMat&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const Vector&, const IndexSet&, const IndexSet&, int, Vector&) [with Scalar = double; Vector = Eigen::Matrix; IndexSet = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/lbfgsb.h:252:51: required from 'int LBFGSpp::LBFGSBSolver::minimize(Foo&, Vector&, Scalar&, const Vector&, const Vector&, int) [with Foo = optim&, Eigen::Matrix&), LBFGS>; Scalar = double; LineSearch = LBFGSpp::LineSearchMoreThuente; Vector = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:499:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Product, -1, 1, true> >, Eigen::Matrix, 0>, Eigen::Block, -1, 1, true>, 0>; CoeffReturnType = double; Eigen::Index = long long int]' ../inst/include/rts/ar1covariance.h:202:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/rts/nngpcovariance.h:375:84: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; DecType = Eigen::LDLT, 1>; RhsType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/nngpcovariance.hpp:342:215: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:2575:12: required from 'struct std::__invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3029:12: required from 'struct std::invoke_result, rtsModel__infomat_theta(SEXP, int, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&>' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\type_traits:3041:11: required by substitution of 'template using invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>&}]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1102:14: required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Idx ...>) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variant = std::variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}; std::index_sequence<_Idx ...> = std::integer_sequence]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\variant:1843:44: required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded, rtsModel__infomat_theta(SEXP, int, int):: >&; _Variants = {variant >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false>, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, VectorMatrix, MatrixMatrix, pair >]' model_module_extension.cpp:333:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:251:92: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/maths.h:239:90: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 841 | for(int i = 0; i < beta.size(); i++) | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1121:39: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1121:42: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1121:70: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1126:29: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1127:29: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1131:23: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1140:42: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1159:45: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1167:63: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1335:56: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1340:32: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 841 | for(int i = 0; i < beta.size(); i++) | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = rts::rtsModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:837:13: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:182:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 182 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:205:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 205 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:220:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 220 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:182:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 182 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:205:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 205 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:220:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 220 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:182:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 182 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:205:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 205 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:220:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 220 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:59:19: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 841 | for(int i = 0; i < beta.size(); i++) | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:59:19: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:59:19: required from here D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:841:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:577:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = rts::rtsModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1092:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:577:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = rts::rtsModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1092:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:69: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:98: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:678:91: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:686:49: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:68: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:112: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:705:45: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:705:68: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:718:61: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:738:60: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:754:44: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:754:88: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:141: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:789:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:789:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:91: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:68: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:105: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:131: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:104: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:125: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:128: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:68: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:152: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:178: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:822:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:103: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:113: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:68: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:115: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:141: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/IO.h:253:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1265:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:478:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:547:20: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:554:53: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:513:58: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:514:61: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:554:53: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:513:58: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:514:61: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:514:61: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1342:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:789:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1140:12: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1140:12: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1140:12: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:547:11: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1140:12: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1085:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1167:20: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1335:36: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = rts::rtsModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1221:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1167:20: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:789:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:428:15: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:676:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:689:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:498:14: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::MatrixWrapper > >, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:774:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::MatrixWrapper >, 0> > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:789:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:555:66: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:261:85: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:520:22: required from 'CorrectionData glmmr::ModelMatrix::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; modeltype = glmmr::ModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:267:87: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::MatrixWrapper >, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:808:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:820:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from 'Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:834:26: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = rts::rtsModelBits; Eigen::VectorXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1168:41: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = rts::rtsModelBits]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modeloptim.hpp:1148:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/modelmatrix.hpp:310:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:272:33: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/model.hpp:145:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_algo.h:201, from D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/optim.h:15: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h: At global scope: D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/optim/bobyqa_general.h:251:1: warning: 'int bobyqa(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*)' defined but not used [-Wunused-function] 251 | bobyqa(const INTEGER n, const INTEGER npt, | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp: In member function 'virtual int glmmr::Covariance::parse()': D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:313:83: warning: 'idx' may be used uninitialized [-Wmaybe-uninitialized] 313 | for(unsigned int m = 0; m < vals.size(); m++) vals[m] = data_(k,fnvars[idx][m]); | ^ D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include/glmmr/covariance.hpp:236:22: note: 'idx' was declared here 236 | unsigned int j,k,idx,zcol; | ^~~ g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c stanExports_rtsapproxlgcp.cc -o stanExports_rtsapproxlgcp.o In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3, from stanExports_rtsapproxlgcp.h:23, from stanExports_rtsapproxlgcp.cc:5: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 361 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\memory:75, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:251:65: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 251 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:508:31: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 508 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:521:22: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 521 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:604:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 604 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:613:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 613 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:615:38: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 615 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from 'struct Eigen::internal::traits > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from 'class Eigen::SolverBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:13, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:43: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combination(std::vector&, const int&, const int&, const int&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:73:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 73 | for (std::size_t i = 0; i < p - 1; i++) { | ~~^~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:79:16: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 79 | } while (k < x); | ~~^~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:102:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 102 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:105:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 105 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::increment(std::vector&, const int&, const double&, const std::vector&, std::vector&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:126:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 126 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:132:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 132 | while ((first_zero < index.size()) && index[first_zero]) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:135:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 135 | if (first_zero == index.size()) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:143:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 143 | for (std::size_t i = 0; i != first_zero + 1; i++) { | ~~^~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::signcombos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:168:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 168 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/aux_/na_assert.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/arg.hpp:25, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/placeholders.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/apply.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_optimization.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_wrapper.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:16: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp: At global scope: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_algobase.h:65, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\specfun.h:45, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\cmath:1935, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27, from stanExports_rtsapproxlgcp.cc:3: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:83:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp: In member function 'virtual std::vector > stan::io::dump::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:694:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 694 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:707:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 707 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from 'class Eigen::LLT, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:6: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_exp_quad.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun.hpp:41, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev.hpp:10, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:49: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp: In lambda function: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:85:40: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 85 | for (Eigen::Index pos = 0; pos < l_tri_size; pos++) { | ~~~~^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:36:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:115:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:21: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&):: [with auto:11 = const Eigen::Matrix, -1, 1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::; Args = {const Eigen::Matrix, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix, -1, 1>&; stan::require_eigen_t* = 0; stan::require_not_st_arithmetic* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/initialize.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function 'virtual std::vector > stan::io::random_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp:111:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 111 | for (comp_iter = 0, real_iter = 0; real_iter < val_r.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:99:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from 'auto stan::math::to_matrix(const std::vector&, int, int) [with T = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:68: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function 'virtual std::vector > stan::io::array_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:304:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 304 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:317:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 317 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:169 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_t::type> >* = 0; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]' stanExports_rtsapproxlgcp.h:665:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:169 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_t::type> >* = 0; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]' stanExports_rtsapproxlgcp.h:665:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0, Eigen::Stride<0, 0> >, void>::apply, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0, Eigen::Stride<0, 0> >, void>::apply, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_t::type> >* = 0; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]' stanExports_rtsapproxlgcp.h:665:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::sqrt >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::sqrt >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::sqrt >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sqrt.hpp:57:46: required from 'auto stan::math::sqrt(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:691:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Block, -1, 1, true>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp.h:1048:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Mat2 = Eigen::Matrix; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp.h:1057:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:21: required from 'auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = Eigen::Matrix&; stan::require_vector_t* = 0; stan::require_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp.h:1070:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp.h:1073:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Mat2 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp.h:1066:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:251:15: required from 'auto stan::model::rvalue(Mat&&, const char*, index_uni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; stan::require_dense_dynamic_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:583:16: required from 'auto stan::model::rvalue(Mat&&, const char*, const Idx&, index_omni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; Idx = index_uni; stan::require_dense_dynamic_t* = 0]' stanExports_rtsapproxlgcp.h:1106:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar&>(const std::vector&)::; Args = {const std::vector >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector&; stan::require_std_vector_t* = 0; stan::require_not_std_vector_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:51: required from 'stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&):: [with auto:9 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&)::; T2 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_t::type> >* = 0; T = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from 'auto stan::math::fabs(const Container&) [with Container = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&):: [with auto:169 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&)::; T2 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_t::type> >* = 0; T = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long unsigned int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:97:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:534:22: required from 'auto stan::model::rvalue(Mat&&, const char*, const Idx&, index_uni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; Idx = index_omni; stan::require_dense_dynamic_t* = 0]' stanExports_rtsapproxlgcp.h:316:38: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:61:18: required from 'auto stan::math::add(const Mat&, Scal) [with Mat = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scal = double; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp.h:315:32: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:61:21: required from 'auto stan::math::add(const Mat&, Scal) [with Mat = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scal = double; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp.h:315:32: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:61:32: required from 'auto stan::math::add(const Mat&, Scal) [with Mat = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scal = double; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp.h:315:32: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from 'auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]' stanExports_rtsapproxlgcp.h:312:35: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >&):: [with auto:13 = const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >&)::; Args = {const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >&; = void; stan::require_not_eigen_array_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:29: required from 'auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; T2 = double; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp.h:311:31: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33: required from 'auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; T2 = double; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp.h:311:31: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64: required from 'auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; T2 = double; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp.h:311:31: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sin.hpp:58:52: required from 'stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: [with auto:285 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sin.hpp:57:46: required from 'auto stan::math::sin(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]' stanExports_rtsapproxlgcp.h:310:26: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sin.hpp:58:52: required from 'stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: [with auto:285 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sin.hpp:57:46: required from 'auto stan::math::sin(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]' stanExports_rtsapproxlgcp.h:310:26: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&, const stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&, const stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sin.hpp:57:46: required from 'auto stan::math::sin(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]' stanExports_rtsapproxlgcp.h:310:26: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from 'auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]' stanExports_rtsapproxlgcp.h:307:29: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] stanExports_rtsapproxlgcp.h: In instantiation of 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsapproxlgcp.h:1488:27: required from here stanExports_rtsapproxlgcp.h:1132:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] 1132 | int pos__ = std::numeric_limits::min(); | ^~~~~ stanExports_rtsapproxlgcp.h: In instantiation of 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsapproxlgcp.h:1498:27: required from here stanExports_rtsapproxlgcp.h:1132:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]': stanExports_rtsapproxlgcp.cc:30:89: required from here D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1252:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable] 1252 | int ret = stan::services::error_codes::CONFIG; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rcompile\cranincoming\r-devel\lib\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:12: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit)))>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta.hpp:70, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long long unsigned int; T_high = long long int; stan::require_all_stan_scalar_t* = 0; Idxs = {}]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36: required from 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'const long long int' [-Wsign-compare] 39 | if (unlikely(!(y <= high))) { | ~~~^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro 'unlikely' 9 | #define unlikely(x) __builtin_expect(!!(x), 0) | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp.h:1105:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp.h:1105:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:217, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:14: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lub_free.hpp: In instantiation of 'auto stan::math::lub_free(std::vector, const L&, const U&) [with T = double; L = int; U = int; stan::require_all_not_std_vector_t* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/serializer.hpp:281:37: required from 'void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = std::vector; L = int; U = int; T = double]' stanExports_rtsapproxlgcp.h:1259:27: required from 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1479:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:133:30: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 133 | for (Eigen::Index i = 0; i < y.size(); ++i) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; Eigen::MatrixXd = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55:22: warning: comparison of integer expressions of different signedness: 'std::vector >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 55 | if (p_names.size() != draws.cols()) { | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:71:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 71 | for (size_t i = 0; i < draws.rows(); ++i) { | ~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:67: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:22: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept >, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::token_finderF >; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:98:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FormatterConcept >, boost::algorithm::detail::first_finderF, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:103:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:65:18: note: in a call to non-static member function 'void boost::algorithm::FormatterConcept::constraints() [with FormatterT = boost::algorithm::detail::const_formatF >; FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 65 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:330: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:277: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp.h:1105:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&):: [with auto:11 = const Eigen::Block, -1, -1>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:30:69: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:845:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1, 0, -1, -1>, -1, 1, true> > >, Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Block, -1, -1, 0, -1, -1>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Block, -1, -1, 0, -1, -1>, -1, 1, true>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:31:9: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:845:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:35:39: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:845:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:35:54: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:845:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:39:39: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:845:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:49:54: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:845:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:27: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:845:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:47: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:845:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:50: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:845:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:57:48: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:845:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:855:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:855:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:855:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:855:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:855:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:855:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:855:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:855:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:66: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:38: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1>&>(const Eigen::Matrix, -1, -1>&):: [with auto:11 = const Eigen::Matrix, -1, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:53:61: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:53: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:37: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1> >&>(arena_matrix, -1, -1> >&):: [with auto:11 = stan::math::arena_matrix, -1, -1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:48: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:46: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:864:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:864:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:864:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:864:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:864:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:37: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:863:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> > >, Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:863:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:39: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:863:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:32: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:922:43: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:35: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:922:43: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:9: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:922:43: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:47: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp.h:922:43: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:39:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:40:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/beta.hpp:1721, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/binomial.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/choose.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp: In instantiation of 'boost::math::detail::temme_root_finder::temme_root_finder(T, T) [with T = double]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:304:7: required from 'T boost::math::detail::temme_method_2_ibeta_inverse(T, T, T, T, T, const Policy&) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:615:48: required from 'T boost::math::detail::ibeta_inv_imp(T, T, T, T, const Policy&, T*) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:992:30: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(T1, T2, T3, T4*, const Policy&) [with T1 = double; T2 = double; T3 = double; T4 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:1023:20: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(RT1, RT2, RT3, const Policy&) [with RT1 = double; RT2 = double; RT3 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/inv_inc_beta.hpp:32:32: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:29:15: warning: unused variable 'x_extrema' [-Wunused-variable] 29 | const T x_extrema = 1 / (1 + a); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Mat2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp.h:922:43: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp.h:921:41: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:64: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:79:62: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:94:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:96:35: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:45: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:59: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:64: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:891:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:891:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:891:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/exp.hpp:63:51: required from 'stan::math::exp >(const Eigen::Array&):: [with auto:215 = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:72:59: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:920:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:74:38: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:920:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:79:30: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:920:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:79:23: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:920:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:83:39: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:920:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:13 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp.h:891:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp.h:891:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp.h:891:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp.h:906:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp.h:906:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&):: [with auto:13 = const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&)::; Args = {const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp.h:920:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:83:39: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = false; T_n = std::vector; T_log_rate = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp.h:920:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:50: required from 'stan::math::var stan::math::accumulator::type>::value, void>::type>::sum() const [with T = stan::math::var_value; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type; stan::math::var = stan::math::var_value]' stanExports_rtsapproxlgcp.h:929:26: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:223:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15: required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:900:18: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:30: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:105:28: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:46:20: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:920:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan > >(const char*, const char*, const Eigen::ArrayWrapper >&)::; T = Eigen::ArrayWrapper >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp.h:891:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:333: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >; Derived = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::Block, -1, 1, true>&; T2 = const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:223:24: required from 'void stan::model::assign(Vec1&&, Vec2&&, const char*, index_omni) [with Vec1 = Eigen::Block, -1, 1, true>; Vec2 = const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >&; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:602:9: required from 'void stan::model::assign(Mat1&&, const Mat2&, const char*, const Idx&, index_uni) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >; Idx = index_omni; stan::require_dense_dynamic_t* = 0]' stanExports_rtsapproxlgcp.h:306:26: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:677:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:82:38: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:886:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::Array; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:76:16: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp.h:920:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseUnaryOp, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:76:16: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = false; T_n = std::vector; T_log_rate = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp.h:920:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32: required from 'bool boost::operator==(const iterator_range&, const iterator_range&) [with Iterator1T = __gnu_cxx::__normal_iterator >; Iterator2T = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32: required from 'bool boost::algorithm::split_iterator::equal(const boost::algorithm::split_iterator&) const [with IteratorT = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26: required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; mpl_::true_ = mpl_::bool_]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator==(const iterator_facade&, const iterator_facade&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:337: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:166: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:26: required from 'void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp.h:1056:32: required from 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1451:21: required from 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:26: required from 'void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp.h:1056:32: required from 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1451:21: required from 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:26: required from 'void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp.h:1056:32: required from 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1451:21: required from 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:26: required from 'void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp.h:1079:30: required from 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1451:21: required from 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:26: required from 'void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp.h:1056:32: required from 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1451:21: required from 'void model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp.h:854:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp.h:1462:47: required from 'T_ model_rtsapproxlgcp_namespace::model_rtsapproxlgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/sum.hpp:32:18: required from 'stan::math::sum > >(const std::vector, arena_allocator > >&):: mutable [with auto:442 = stan::math::internal::callback_vari > >(const std::vector, arena_allocator > >&):: >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43: required from 'void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::sum > >(const std::vector, arena_allocator > >&)::]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:21: required from 'stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:78:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_namespace::model_rtsapproxlgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c stanExports_rtsapproxlgcp_nngp.cc -o stanExports_rtsapproxlgcp_nngp.o In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3, from stanExports_rtsapproxlgcp_nngp.h:23, from stanExports_rtsapproxlgcp_nngp.cc:5: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 361 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\memory:75, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:251:65: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 251 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:508:31: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 508 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:521:22: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 521 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:604:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 604 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:613:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 613 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:615:38: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 615 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from 'struct Eigen::internal::traits > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from 'class Eigen::SolverBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:13, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:43: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combination(std::vector&, const int&, const int&, const int&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:73:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 73 | for (std::size_t i = 0; i < p - 1; i++) { | ~~^~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:79:16: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 79 | } while (k < x); | ~~^~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:102:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 102 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:105:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 105 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::increment(std::vector&, const int&, const double&, const std::vector&, std::vector&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:126:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 126 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:132:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 132 | while ((first_zero < index.size()) && index[first_zero]) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:135:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 135 | if (first_zero == index.size()) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:143:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 143 | for (std::size_t i = 0; i != first_zero + 1; i++) { | ~~^~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::signcombos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:168:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 168 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/aux_/na_assert.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/arg.hpp:25, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/placeholders.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/apply.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_optimization.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_wrapper.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:16: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp: At global scope: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_algobase.h:65, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\specfun.h:45, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\cmath:1935, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27, from stanExports_rtsapproxlgcp_nngp.cc:3: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:83:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp: In member function 'virtual std::vector > stan::io::dump::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:694:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 694 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:707:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 707 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from 'class Eigen::LLT, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:6: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_exp_quad.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun.hpp:41, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev.hpp:10, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:49: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp: In lambda function: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:85:40: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 85 | for (Eigen::Index pos = 0; pos < l_tri_size; pos++) { | ~~~~^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:36:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:115:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:21: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&):: [with auto:11 = const Eigen::Matrix, -1, 1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::; Args = {const Eigen::Matrix, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix, -1, 1>&; stan::require_eigen_t* = 0; stan::require_not_st_arithmetic* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/initialize.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function 'virtual std::vector > stan::io::random_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp:111:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 111 | for (comp_iter = 0, real_iter = 0; real_iter < val_r.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:99:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from 'auto stan::math::to_matrix(const std::vector&, int, int) [with T = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:68: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function 'virtual std::vector > stan::io::array_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:304:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 304 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:317:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 317 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:169 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_t::type> >* = 0; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]' stanExports_rtsapproxlgcp_nngp.h:778:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:169 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_t::type> >* = 0; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]' stanExports_rtsapproxlgcp_nngp.h:778:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0, Eigen::Stride<0, 0> >, void>::apply, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0, Eigen::Stride<0, 0> >, void>::apply, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_t::type> >* = 0; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]' stanExports_rtsapproxlgcp_nngp.h:778:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:21: required from 'auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = Eigen::Matrix&; stan::require_vector_t* = 0; stan::require_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1194:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from 'auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::VectorBlock, -1>; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]' stanExports_rtsapproxlgcp_nngp.h:1191:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Mat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_nngp.h:1200:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:251:15: required from 'auto stan::model::rvalue(Mat&&, const char*, index_uni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; stan::require_dense_dynamic_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:583:16: required from 'auto stan::model::rvalue(Mat&&, const char*, const Idx&, index_omni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; Idx = index_uni; stan::require_dense_dynamic_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1240:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar&>(const std::vector&)::; Args = {const std::vector >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector&; stan::require_std_vector_t* = 0; stan::require_not_std_vector_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:51: required from 'stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&):: [with auto:9 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&)::; T2 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_t::type> >* = 0; T = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from 'auto stan::math::fabs(const Container&) [with Container = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&):: [with auto:169 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&)::; T2 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_t::type> >* = 0; T = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long unsigned int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:97:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] stanExports_rtsapproxlgcp_nngp.h: In instantiation of 'void model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsapproxlgcp_nngp.h:1607:27: required from here stanExports_rtsapproxlgcp_nngp.h:1266:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] 1266 | int pos__ = std::numeric_limits::min(); | ^~~~~ stanExports_rtsapproxlgcp_nngp.h: In instantiation of 'void model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsapproxlgcp_nngp.h:1617:27: required from here stanExports_rtsapproxlgcp_nngp.h:1266:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]': stanExports_rtsapproxlgcp_nngp.cc:30:89: required from here D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1252:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable] 1252 | int ret = stan::services::error_codes::CONFIG; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rcompile\cranincoming\r-devel\lib\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:12: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit)))>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta.hpp:70, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long long unsigned int; T_high = long long int; stan::require_all_stan_scalar_t* = 0; Idxs = {}]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36: required from 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'const long long int' [-Wsign-compare] 39 | if (unlikely(!(y <= high))) { | ~~~^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro 'unlikely' 9 | #define unlikely(x) __builtin_expect(!!(x), 0) | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:277: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:42:38: required from 'struct stan::ref_type_if, -1, -1, false>&, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:54:7: required by substitution of 'template using ref_type_t = typename stan::ref_type_if::type [with T = const Eigen::Block, -1, -1, false>&]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:17:24: required by substitution of 'template stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Block, -1, -1, false>&]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:33:29: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:46:19: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1239:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1239:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:217, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:14: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lub_free.hpp: In instantiation of 'auto stan::math::lub_free(std::vector, const L&, const U&) [with T = double; L = int; U = int; stan::require_all_not_std_vector_t* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/serializer.hpp:281:37: required from 'void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = std::vector; L = int; U = int; T = double]' stanExports_rtsapproxlgcp_nngp.h:1369:27: required from 'void model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1598:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:133:30: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 133 | for (Eigen::Index i = 0; i < y.size(); ++i) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; Eigen::MatrixXd = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55:22: warning: comparison of integer expressions of different signedness: 'std::vector >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 55 | if (p_names.size() != draws.cols()) { | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:71:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 71 | for (size_t i = 0; i < draws.rows(); ++i) { | ~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:67: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:22: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept >, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::token_finderF >; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:98:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FormatterConcept >, boost::algorithm::detail::first_finderF, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:103:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:65:18: note: in a call to non-static member function 'void boost::algorithm::FormatterConcept::constraints() [with FormatterT = boost::algorithm::detail::const_formatF >; FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 65 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::VectorBlock, -1, 1, true>, -1>; Vec2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' stanExports_rtsapproxlgcp_nngp.h:383:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:330: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1, -1, false> >(const char*, const char*, const Eigen::Block, -1, -1, false>&)::; T = Eigen::Block, -1, -1, false>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit)))>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:35:16: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1239:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:980:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:980:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:980:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:150:39: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:980:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:980:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:980:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&):: [with auto:11 = const Eigen::VectorBlock, -1, 1>, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:168:61: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:980:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:58: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:980:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:980:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:980:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:37: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:989:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:47: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:989:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1, 0, -1, 1>, -1, 1, false> > >, Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::VectorBlock, -1, 1, 0, -1, 1>, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::VectorBlock, -1, 1, 0, -1, 1>, -1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:989:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:39: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:989:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:34:44: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:66: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:38: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Types = {Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:53: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:37: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1> >&>(arena_matrix, -1, -1> >&):: [with auto:11 = stan::math::arena_matrix, -1, -1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:48: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:46: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:32: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:43: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:35: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:43: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:9: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:43: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:47: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:43: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> > >, Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1073:41: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:39:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:40:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/beta.hpp:1721, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/binomial.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/choose.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp: In instantiation of 'boost::math::detail::temme_root_finder::temme_root_finder(T, T) [with T = double]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:304:7: required from 'T boost::math::detail::temme_method_2_ibeta_inverse(T, T, T, T, T, const Policy&) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:615:48: required from 'T boost::math::detail::ibeta_inv_imp(T, T, T, T, const Policy&, T*) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:992:30: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(T1, T2, T3, T4*, const Policy&) [with T1 = double; T2 = double; T3 = double; T4 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:1023:20: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(RT1, RT2, RT3, const Policy&) [with RT1 = double; RT2 = double; RT3 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/inv_inc_beta.hpp:32:32: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:29:15: warning: unused variable 'x_extrema' [-Wunused-variable] 29 | const T x_extrema = 1 / (1 + a); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::VectorBlock, -1, 1, true>, -1>; Vec2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' stanExports_rtsapproxlgcp_nngp.h:383:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::VectorBlock, -1, 1, true>, -1>; Vec2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' stanExports_rtsapproxlgcp_nngp.h:383:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::VectorBlock, -1, 1, true>, -1>; Vec2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' stanExports_rtsapproxlgcp_nngp.h:383:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Mat2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:43: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_nngp.h:1073:41: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:64: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:79:62: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:94:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:96:35: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:45: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:59: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1030:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1030:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:44:68: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/exp.hpp:63:51: required from 'stan::math::exp >(const Eigen::Array&):: [with auto:215 = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:72:59: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:74:38: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:79:30: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:79:23: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:83:39: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:13 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp.h:1030:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp.h:1030:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:1050:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:1050:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&):: [with auto:13 = const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&)::; Args = {const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:83:39: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = false; T_n = std::vector; T_log_rate = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&):: [with auto:11 = const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:383:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&):: [with auto:11 = const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:451:32: required from 'stan::promote_args_t::type> model_rtsapproxlgcp_nngp_namespace::nngp_split_lpdf(const std::vector&, const T1__&, const std::vector >&, const int&, std::ostream*) [with bool propto__ = false; T0__ = stan::math::var_value; T1__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type> = stan::math::var_value; typename stan::base_type::type = std::decay >::type; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1050:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:50: required from 'stan::math::var stan::math::accumulator::type>::value, void>::type>::sum() const [with T = stan::math::var_value; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type; stan::math::var = stan::math::var_value]' stanExports_rtsapproxlgcp_nngp.h:1081:26: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::VectorBlock, -1, 1, true>, -1>; Vec2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' stanExports_rtsapproxlgcp_nngp.h:383:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:223:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15: required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:900:18: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:54:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:46:20: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:30: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:86:28: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:1050:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1, -1>, -1, -1, false> >(const char*, const char*, const Eigen::Block, -1, -1>, -1, -1, false>&)::; T = Eigen::Block, -1, -1>, -1, -1, false>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit)))>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Block, -1, -1>, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:161:16: required from 'Eigen::Matrix, EigMat1::RowsAtCompileTime, EigMat2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1>, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_eigen_matrix_base_vt* = 0]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >; U = Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:383:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:383:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:383:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:333: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:1050:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:1050:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:82:38: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1015:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::Array; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:76:16: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseUnaryOp, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:76:16: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = false; T_n = std::vector; T_log_rate = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:1050:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 1; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32: required from 'bool boost::operator==(const iterator_range&, const iterator_range&) [with Iterator1T = __gnu_cxx::__normal_iterator >; Iterator2T = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32: required from 'bool boost::algorithm::split_iterator::equal(const boost::algorithm::split_iterator&) const [with IteratorT = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26: required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; mpl_::true_ = mpl_::bool_]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator==(const iterator_facade&, const iterator_facade&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:337: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:166: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:969:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp.h:374:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:831:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp.h:1074:64: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp.h:1072:62: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp.h:1581:47: required from 'T_ model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/sum.hpp:32:18: required from 'stan::math::sum > >(const std::vector, arena_allocator > >&):: mutable [with auto:442 = stan::math::internal::callback_vari > >(const std::vector, arena_allocator > >&):: >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43: required from 'void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::sum > >(const std::vector, arena_allocator > >&)::]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:66:17: required from 'void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:21: required from 'stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:78:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25: required from 'void Eigen::LLT::solveInPlace(const Eigen::MatrixBase&) const [with Derived = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:64:30: required from 'void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_namespace::model_rtsapproxlgcp_nngp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c stanExports_rtsapproxlgcp_nngp_region.cc -o stanExports_rtsapproxlgcp_nngp_region.o In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3, from stanExports_rtsapproxlgcp_nngp_region.h:23, from stanExports_rtsapproxlgcp_nngp_region.cc:5: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 361 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\memory:75, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:251:65: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 251 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:508:31: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 508 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:521:22: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 521 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:604:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 604 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:613:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 613 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:615:38: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 615 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from 'struct Eigen::internal::traits > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from 'class Eigen::SolverBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:13, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:43: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combination(std::vector&, const int&, const int&, const int&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:73:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 73 | for (std::size_t i = 0; i < p - 1; i++) { | ~~^~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:79:16: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 79 | } while (k < x); | ~~^~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:102:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 102 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:105:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 105 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::increment(std::vector&, const int&, const double&, const std::vector&, std::vector&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:126:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 126 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:132:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 132 | while ((first_zero < index.size()) && index[first_zero]) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:135:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 135 | if (first_zero == index.size()) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:143:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 143 | for (std::size_t i = 0; i != first_zero + 1; i++) { | ~~^~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::signcombos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:168:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 168 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/aux_/na_assert.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/arg.hpp:25, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/placeholders.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/apply.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_optimization.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_wrapper.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:16: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp: At global scope: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_algobase.h:65, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\specfun.h:45, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\cmath:1935, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27, from stanExports_rtsapproxlgcp_nngp_region.cc:3: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:83:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp: In member function 'virtual std::vector > stan::io::dump::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:694:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 694 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:707:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 707 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from 'class Eigen::LLT, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:6: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_exp_quad.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun.hpp:41, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev.hpp:10, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:49: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp: In lambda function: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:85:40: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 85 | for (Eigen::Index pos = 0; pos < l_tri_size; pos++) { | ~~~~^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:36:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:115:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:21: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&):: [with auto:11 = const Eigen::Matrix, -1, 1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::; Args = {const Eigen::Matrix, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix, -1, 1>&; stan::require_eigen_t* = 0; stan::require_not_st_arithmetic* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/initialize.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function 'virtual std::vector > stan::io::random_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp:111:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 111 | for (comp_iter = 0, real_iter = 0; real_iter < val_r.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:99:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from 'auto stan::math::to_matrix(const std::vector&, int, int) [with T = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:68: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function 'virtual std::vector > stan::io::array_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:304:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 304 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:317:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 317 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:251:15: required from 'auto stan::model::rvalue(Mat&&, const char*, index_uni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; stan::require_dense_dynamic_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:583:16: required from 'auto stan::model::rvalue(Mat&&, const char*, const Idx&, index_omni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; Idx = index_uni; stan::require_dense_dynamic_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1282:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:21: required from 'auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = Eigen::Matrix&; stan::require_vector_t* = 0; stan::require_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1450:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from 'auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::VectorBlock, -1>; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1447:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Mat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1456:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1512:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar&>(const std::vector&)::; Args = {const std::vector >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector&; stan::require_std_vector_t* = 0; stan::require_not_std_vector_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:51: required from 'stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&):: [with auto:9 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&)::; T2 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_t::type> >* = 0; T = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from 'auto stan::math::fabs(const Container&) [with Container = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&):: [with auto:169 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&)::; T2 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_t::type> >* = 0; T = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long unsigned int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:97:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:66: required from 'stan::math::value_of_rec, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:1 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::; Args = {Eigen::Map, 0, Eigen::Stride<0, 0> >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21: required from 'auto stan::math::value_of_rec(T&&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; = void; = void]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:30: required from 'void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = std::vector; T_low = int; stan::require_vector_t* = 0; stan::require_not_std_vector_vt* = 0; stan::require_stan_scalar_t* = 0; Idxs = {}]' stanExports_rtsapproxlgcp_nngp_region.h:690:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ stanExports_rtsapproxlgcp_nngp_region.h: In instantiation of 'void model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsapproxlgcp_nngp_region.h:1986:27: required from here stanExports_rtsapproxlgcp_nngp_region.h:1586:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] 1586 | int pos__ = std::numeric_limits::min(); | ^~~~~ stanExports_rtsapproxlgcp_nngp_region.h: In instantiation of 'void model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsapproxlgcp_nngp_region.h:1996:27: required from here stanExports_rtsapproxlgcp_nngp_region.h:1586:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]': stanExports_rtsapproxlgcp_nngp_region.cc:30:89: required from here D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1252:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable] 1252 | int ret = stan::services::error_codes::CONFIG; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rcompile\cranincoming\r-devel\lib\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:12: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit)))>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta.hpp:70, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long long unsigned int; T_high = long long int; stan::require_all_stan_scalar_t* = 0; Idxs = {}]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36: required from 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'const long long int' [-Wsign-compare] 39 | if (unlikely(!(y <= high))) { | ~~~^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro 'unlikely' 9 | #define unlikely(x) __builtin_expect(!!(x), 0) | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:277: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:42:38: required from 'struct stan::ref_type_if, -1, -1, false>&, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:54:7: required by substitution of 'template using ref_type_t = typename stan::ref_type_if::type [with T = const Eigen::Block, -1, -1, false>&]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:17:24: required by substitution of 'template stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Block, -1, -1, false>&]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:33:29: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:46:19: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1536:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1536:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:217, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:14: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lub_free.hpp: In instantiation of 'auto stan::math::lub_free(std::vector, const L&, const U&) [with T = double; L = int; U = int; stan::require_all_not_std_vector_t* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/serializer.hpp:281:37: required from 'void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = std::vector; L = int; U = int; T = double]' stanExports_rtsapproxlgcp_nngp_region.h:1717:27: required from 'void model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1977:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:133:30: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 133 | for (Eigen::Index i = 0; i < y.size(); ++i) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; Eigen::MatrixXd = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55:22: warning: comparison of integer expressions of different signedness: 'std::vector >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 55 | if (p_names.size() != draws.cols()) { | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:71:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 71 | for (size_t i = 0; i < draws.rows(); ++i) { | ~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:67: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:22: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept >, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::token_finderF >; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:98:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FormatterConcept >, boost::algorithm::detail::first_finderF, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:103:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:65:18: note: in a call to non-static member function 'void boost::algorithm::FormatterConcept::constraints() [with FormatterT = boost::algorithm::detail::const_formatF >; FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 65 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::VectorBlock, -1, 1, true>, -1>; Vec2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:429:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:330: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1, -1, false> >(const char*, const char*, const Eigen::Block, -1, -1, false>&)::; T = Eigen::Block, -1, -1, false>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit)))>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:35:16: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1536:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1145:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1145:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1145:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:150:39: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1145:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1145:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1145:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&):: [with auto:11 = const Eigen::VectorBlock, -1, 1>, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:168:61: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1145:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:58: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1145:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1145:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1145:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:37: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1154:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:47: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1154:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1, 0, -1, 1>, -1, 1, false> > >, Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::VectorBlock, -1, 1, 0, -1, 1>, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::VectorBlock, -1, 1, 0, -1, 1>, -1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1154:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:39: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1154:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:34:44: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:66: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:38: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:53: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:37: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1> >&>(arena_matrix, -1, -1> >&):: [with auto:11 = stan::math::arena_matrix, -1, -1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:48: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:46: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:39:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:40:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/beta.hpp:1721, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/binomial.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/choose.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp: In instantiation of 'boost::math::detail::temme_root_finder::temme_root_finder(T, T) [with T = double]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:304:7: required from 'T boost::math::detail::temme_method_2_ibeta_inverse(T, T, T, T, T, const Policy&) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:615:48: required from 'T boost::math::detail::ibeta_inv_imp(T, T, T, T, const Policy&, T*) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:992:30: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(T1, T2, T3, T4*, const Policy&) [with T1 = double; T2 = double; T3 = double; T4 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:1023:20: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(RT1, RT2, RT3, const Policy&) [with RT1 = double; RT2 = double; RT3 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/inv_inc_beta.hpp:32:32: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:29:15: warning: unused variable 'x_extrema' [-Wunused-variable] 29 | const T x_extrema = 1 / (1 + a); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::VectorBlock, -1, 1, true>, -1>; Vec2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:429:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::VectorBlock, -1, 1, true>, -1>; Vec2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:429:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::VectorBlock, -1, 1, true>, -1>; Vec2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:429:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:64: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:79:62: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:94:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:96:35: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:45: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:59: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:64: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1236:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1236:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1236:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, 1, -1> >&>(arena_matrix, 1, -1> >&):: [with auto:11 = stan::math::arena_matrix, 1, -1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:95:65: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1> >&>(arena_matrix, -1, 1> >&):: [with auto:11 = stan::math::arena_matrix, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:96:65: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:22: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:75: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:44: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:44: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:33: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:103:57: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:103:65: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:103:68: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_binary.hpp:60:51: required from 'stan::math::apply_scalar_binary, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::&&):: [with auto:59 = stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::; auto:60 = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; auto:61 = const Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:69:56: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:115:7: required from 'class stan::math::Holder, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:312:16: required from 'auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence, const std::tuple&) [with T = Eigen::CwiseBinaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; long long unsigned int ...Is = {0}; Args = {stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::}; std::index_sequence = std::integer_sequence]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:330:43: required from 'auto stan::math::internal::make_holder_impl(const F&, std::index_sequence, Args&& ...) [with F = stan::math::apply_scalar_binary, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::&&)::; long long unsigned int ...Is = {0, 1, 2}; Args = {stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&}; std::index_sequence = std::integer_sequence]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:353:36: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:69:56: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:74:30: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:74:23: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:78:39: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:78:52: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:13 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp_region.h:1236:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp_region.h:1236:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:1249:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:1249:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_binary.hpp:60:51: required from 'stan::math::apply_scalar_binary, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&):: >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::&&):: [with auto:59 = stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::; auto:60 = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; auto:61 = const Eigen::ArrayWrapper >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&):: >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&):: > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&):: > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:115:7: required from 'class stan::math::Holder, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&):: >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:312:16: required from 'auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence, const std::tuple&) [with T = Eigen::CwiseBinaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >; long long unsigned int ...Is = {0}; Args = {stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::}; std::index_sequence = std::integer_sequence]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:330:43: required from 'auto stan::math::internal::make_holder_impl(const F&, std::index_sequence, Args&& ...) [with F = stan::math::apply_scalar_binary, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&):: >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::&&)::; long long unsigned int ...Is = {0, 1, 2}; Args = {stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&}; std::index_sequence = std::integer_sequence]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:353:36: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:78:39: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = false; T_n = std::vector; T_rate = Eigen::Matrix; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:78:52: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = false; T_n = std::vector; T_rate = Eigen::Matrix; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&):: [with auto:11 = const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:429:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&):: [with auto:11 = const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:497:32: required from 'stan::promote_args_t::type> model_rtsapproxlgcp_nngp_region_namespace::nngp_split_lpdf(const std::vector&, const T1__&, const std::vector >&, const int&, std::ostream*) [with bool propto__ = false; T0__ = stan::math::var_value; T1__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type> = stan::math::var_value; typename stan::base_type::type = std::decay >::type; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1249:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:50: required from 'stan::math::var stan::math::accumulator::type>::value, void>::type>::sum() const [with T = stan::math::var_value; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type; stan::math::var = stan::math::var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1331:26: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::VectorBlock, -1, 1, true>, -1>; Vec2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:429:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:223:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15: required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:900:18: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:54:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:39: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:105:28: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1236:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:30: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:105:28: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1236:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:97:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:97:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:109:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:117:36: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:117:36: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:45:20: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:46:20: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan > >(const char*, const char*, const Eigen::ArrayWrapper >&)::; T = Eigen::ArrayWrapper >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp_region.h:1236:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase > >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:1249:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative > >(const char*, const char*, const Eigen::ArrayWrapper >&)::; T = Eigen::ArrayWrapper >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:46:20: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = false; T_n = std::vector; T_rate = Eigen::Matrix; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1, -1>, -1, -1, false> >(const char*, const char*, const Eigen::Block, -1, -1>, -1, -1, false>&)::; T = Eigen::Block, -1, -1>, -1, -1, false>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit)))>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Block, -1, -1>, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:161:16: required from 'Eigen::Matrix, EigMat1::RowsAtCompileTime, EigMat2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1>, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_eigen_matrix_base_vt* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >; U = Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:429:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:429:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:429:32: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:333: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:1249:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:1249:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:82:38: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1203:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::Array; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:71:16: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::ArrayWrapper >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::ArrayWrapper >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::ArrayWrapper >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::ArrayWrapper >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::ArrayWrapper >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:71:16: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = false; T_n = std::vector; T_rate = Eigen::Matrix; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_nngp_region.h:1325:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:97:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_nngp_region.h:1281:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:1249:52: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 1; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32: required from 'bool boost::operator==(const iterator_range&, const iterator_range&) [with Iterator1T = __gnu_cxx::__normal_iterator >; Iterator2T = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32: required from 'bool boost::algorithm::split_iterator::equal(const boost::algorithm::split_iterator&) const [with IteratorT = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26: required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; mpl_::true_ = mpl_::bool_]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator==(const iterator_facade&, const iterator_facade&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:337: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:166: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = stan::math::var_value; T1__ = stan::math::var_value; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1134:16: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:44:17: required from 'Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Block, -1, -1, false>; EigMat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]' stanExports_rtsapproxlgcp_nngp_region.h:420:37: required from 'Eigen::Matrix::type, -1, -1> model_rtsapproxlgcp_nngp_region_namespace::getAD(const T0__&, const T1__&, const int&, const int&, const std::vector&, const std::vector >&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T4__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:976:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::Matrix&; T2 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:24: required from 'void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1511:28: required from 'void model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1949:21: required from 'void model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_nngp_region.h:1239:33: required from 'stan::scalar_type_t model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_nngp_region.h:1960:47: required from 'T_ model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_nngp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/sum.hpp:32:18: required from 'stan::math::sum > >(const std::vector, arena_allocator > >&):: mutable [with auto:442 = stan::math::internal::callback_vari > >(const std::vector, arena_allocator > >&):: >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43: required from 'void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::sum > >(const std::vector, arena_allocator > >&)::]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:66:17: required from 'void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:21: required from 'stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:78:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25: required from 'void Eigen::LLT::solveInPlace(const Eigen::MatrixBase&) const [with Derived = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:64:30: required from 'void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_nngp_region_namespace::model_rtsapproxlgcp_nngp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c stanExports_rtsapproxlgcp_region.cc -o stanExports_rtsapproxlgcp_region.o In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3, from stanExports_rtsapproxlgcp_region.h:23, from stanExports_rtsapproxlgcp_region.cc:5: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 361 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\memory:75, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:251:65: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 251 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:508:31: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 508 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:521:22: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 521 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:604:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 604 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:613:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 613 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:615:38: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 615 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from 'struct Eigen::internal::traits > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from 'class Eigen::SolverBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:13, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:43: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combination(std::vector&, const int&, const int&, const int&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:73:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 73 | for (std::size_t i = 0; i < p - 1; i++) { | ~~^~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:79:16: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 79 | } while (k < x); | ~~^~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:102:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 102 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:105:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 105 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::increment(std::vector&, const int&, const double&, const std::vector&, std::vector&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:126:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 126 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:132:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 132 | while ((first_zero < index.size()) && index[first_zero]) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:135:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 135 | if (first_zero == index.size()) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:143:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 143 | for (std::size_t i = 0; i != first_zero + 1; i++) { | ~~^~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::signcombos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:168:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 168 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/aux_/na_assert.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/arg.hpp:25, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/placeholders.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/apply.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_optimization.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_wrapper.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:16: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp: At global scope: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_algobase.h:65, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\specfun.h:45, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\cmath:1935, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27, from stanExports_rtsapproxlgcp_region.cc:3: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:83:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp: In member function 'virtual std::vector > stan::io::dump::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:694:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 694 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:707:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 707 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from 'class Eigen::LLT, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:6: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_exp_quad.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun.hpp:41, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev.hpp:10, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:49: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp: In lambda function: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:85:40: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 85 | for (Eigen::Index pos = 0; pos < l_tri_size; pos++) { | ~~~~^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:36:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:115:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:21: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&):: [with auto:11 = const Eigen::Matrix, -1, 1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::; Args = {const Eigen::Matrix, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix, -1, 1>&; stan::require_eigen_t* = 0; stan::require_not_st_arithmetic* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/initialize.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function 'virtual std::vector > stan::io::random_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp:111:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 111 | for (comp_iter = 0, real_iter = 0; real_iter < val_r.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:99:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from 'auto stan::math::to_matrix(const std::vector&, int, int) [with T = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:68: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function 'virtual std::vector > stan::io::array_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:304:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 304 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:317:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 317 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::sqrt >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::sqrt >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::sqrt >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sqrt.hpp:57:46: required from 'auto stan::math::sqrt(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:832:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:251:15: required from 'auto stan::model::rvalue(Mat&&, const char*, index_uni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; stan::require_dense_dynamic_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:583:16: required from 'auto stan::model::rvalue(Mat&&, const char*, const Idx&, index_omni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; Idx = index_uni; stan::require_dense_dynamic_t* = 0]' stanExports_rtsapproxlgcp_region.h:1124:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Block, -1, 1, true>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_region.h:1298:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Mat2 = Eigen::Matrix; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp_region.h:1307:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:21: required from 'auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = Eigen::Matrix&; stan::require_vector_t* = 0; stan::require_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1320:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp_region.h:1323:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Mat2 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_region.h:1316:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_region.h:1337:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar&>(const std::vector&)::; Args = {const std::vector >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector&; stan::require_std_vector_t* = 0; stan::require_not_std_vector_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:51: required from 'stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&):: [with auto:9 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&)::; T2 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_t::type> >* = 0; T = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from 'auto stan::math::fabs(const Container&) [with Container = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&):: [with auto:169 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&)::; T2 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_t::type> >* = 0; T = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long unsigned int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:97:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:66: required from 'stan::math::value_of_rec, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:1 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::; Args = {Eigen::Map, 0, Eigen::Stride<0, 0> >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21: required from 'auto stan::math::value_of_rec(T&&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; = void; = void]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:30: required from 'void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = std::vector; T_low = int; stan::require_vector_t* = 0; stan::require_not_std_vector_vt* = 0; stan::require_stan_scalar_t* = 0; Idxs = {}]' stanExports_rtsapproxlgcp_region.h:535:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:534:22: required from 'auto stan::model::rvalue(Mat&&, const char*, const Idx&, index_uni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; Idx = index_omni; stan::require_dense_dynamic_t* = 0]' stanExports_rtsapproxlgcp_region.h:360:38: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:61:18: required from 'auto stan::math::add(const Mat&, Scal) [with Mat = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scal = double; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_region.h:359:32: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:61:21: required from 'auto stan::math::add(const Mat&, Scal) [with Mat = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scal = double; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_region.h:359:32: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:61:32: required from 'auto stan::math::add(const Mat&, Scal) [with Mat = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scal = double; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_region.h:359:32: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from 'auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]' stanExports_rtsapproxlgcp_region.h:356:35: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >&):: [with auto:13 = const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >&)::; Args = {const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >&; = void; stan::require_not_eigen_array_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:29: required from 'auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; T2 = double; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_region.h:355:31: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33: required from 'auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; T2 = double; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_region.h:355:31: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64: required from 'auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; T2 = double; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsapproxlgcp_region.h:355:31: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sin.hpp:58:52: required from 'stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: [with auto:285 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sin.hpp:57:46: required from 'auto stan::math::sin(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]' stanExports_rtsapproxlgcp_region.h:354:26: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sin.hpp:58:52: required from 'stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: [with auto:285 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sin.hpp:57:46: required from 'auto stan::math::sin(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]' stanExports_rtsapproxlgcp_region.h:354:26: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&, const stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&, const stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::sin, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sin.hpp:57:46: required from 'auto stan::math::sin(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]' stanExports_rtsapproxlgcp_region.h:354:26: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from 'auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]' stanExports_rtsapproxlgcp_region.h:351:29: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] stanExports_rtsapproxlgcp_region.h: In instantiation of 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsapproxlgcp_region.h:1831:27: required from here stanExports_rtsapproxlgcp_region.h:1429:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] 1429 | int pos__ = std::numeric_limits::min(); | ^~~~~ stanExports_rtsapproxlgcp_region.h: In instantiation of 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsapproxlgcp_region.h:1841:27: required from here stanExports_rtsapproxlgcp_region.h:1429:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]': stanExports_rtsapproxlgcp_region.cc:30:89: required from here D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1252:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable] 1252 | int ret = stan::services::error_codes::CONFIG; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rcompile\cranincoming\r-devel\lib\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:12: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit)))>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta.hpp:70, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long long unsigned int; T_high = long long int; stan::require_all_stan_scalar_t* = 0; Idxs = {}]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36: required from 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'const long long int' [-Wsign-compare] 39 | if (unlikely(!(y <= high))) { | ~~~^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro 'unlikely' 9 | #define unlikely(x) __builtin_expect(!!(x), 0) | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp_region.h:1389:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp_region.h:1389:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:217, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:14: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lub_free.hpp: In instantiation of 'auto stan::math::lub_free(std::vector, const L&, const U&) [with T = double; L = int; U = int; stan::require_all_not_std_vector_t* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/serializer.hpp:281:37: required from 'void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = std::vector; L = int; U = int; T = double]' stanExports_rtsapproxlgcp_region.h:1584:27: required from 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1822:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:133:30: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 133 | for (Eigen::Index i = 0; i < y.size(); ++i) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; Eigen::MatrixXd = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55:22: warning: comparison of integer expressions of different signedness: 'std::vector >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 55 | if (p_names.size() != draws.cols()) { | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:71:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 71 | for (size_t i = 0; i < draws.rows(); ++i) { | ~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:67: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:22: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept >, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::token_finderF >; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:98:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FormatterConcept >, boost::algorithm::detail::first_finderF, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:103:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:65:18: note: in a call to non-static member function 'void boost::algorithm::FormatterConcept::constraints() [with FormatterT = boost::algorithm::detail::const_formatF >; FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 65 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:330: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:277: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtsapproxlgcp_region.h:1389:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&):: [with auto:11 = const Eigen::Block, -1, -1>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:30:69: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:999:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1, 0, -1, -1>, -1, 1, true> > >, Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Block, -1, -1, 0, -1, -1>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>&>(const Eigen::Block, -1, -1>, -1, 1, true>&)::::, const Eigen::Block, -1, -1>, -1, 1, true> > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Block, -1, -1, 0, -1, -1>, -1, 1, true>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:31:9: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:999:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:35:39: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:999:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:35:54: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:999:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:39:39: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:999:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:49:54: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:999:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:27: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:999:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:47: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:999:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:50: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:999:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:57:48: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Block, -1, -1>, -1, 1, true>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:999:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1009:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1009:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1009:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1009:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1009:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1009:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1009:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1009:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:66: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:38: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1>&>(const Eigen::Matrix, -1, -1>&):: [with auto:11 = const Eigen::Matrix, -1, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:53:61: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:53: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:37: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1> >&>(arena_matrix, -1, -1> >&):: [with auto:11 = stan::math::arena_matrix, -1, -1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:48: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:46: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1018:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1018:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1018:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1018:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1018:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:37: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:1017:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> > >, Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:1017:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:39: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtsapproxlgcp_region.h:1017:30: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:39:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:40:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/beta.hpp:1721, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/binomial.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/choose.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp: In instantiation of 'boost::math::detail::temme_root_finder::temme_root_finder(T, T) [with T = double]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:304:7: required from 'T boost::math::detail::temme_method_2_ibeta_inverse(T, T, T, T, T, const Policy&) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:615:48: required from 'T boost::math::detail::ibeta_inv_imp(T, T, T, T, const Policy&, T*) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:992:30: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(T1, T2, T3, T4*, const Policy&) [with T1 = double; T2 = double; T3 = double; T4 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:1023:20: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(RT1, RT2, RT3, const Policy&) [with RT1 = double; RT2 = double; RT3 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/inv_inc_beta.hpp:32:32: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:29:15: warning: unused variable 'x_extrema' [-Wunused-variable] 29 | const T x_extrema = 1 / (1 + a); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:64: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:79:62: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:94:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:96:35: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:45: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:59: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:64: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1075:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1075:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1075:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, 1, -1> >&>(arena_matrix, 1, -1> >&):: [with auto:11 = stan::math::arena_matrix, 1, -1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:95:65: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1> >&>(arena_matrix, -1, 1> >&):: [with auto:11 = stan::math::arena_matrix, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:96:65: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:22: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:75: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:44: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:44: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:33: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:103:57: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:103:65: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:103:68: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_binary.hpp:60:51: required from 'stan::math::apply_scalar_binary, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::&&):: [with auto:59 = stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::; auto:60 = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; auto:61 = const Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:69:56: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:115:7: required from 'class stan::math::Holder, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:312:16: required from 'auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence, const std::tuple&) [with T = Eigen::CwiseBinaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; long long unsigned int ...Is = {0}; Args = {stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::}; std::index_sequence = std::integer_sequence]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:330:43: required from 'auto stan::math::internal::make_holder_impl(const F&, std::index_sequence, Args&& ...) [with F = stan::math::apply_scalar_binary, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::&&)::; long long unsigned int ...Is = {0, 1, 2}; Args = {stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&}; std::index_sequence = std::integer_sequence]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:353:36: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:69:56: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:74:30: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:74:23: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:78:39: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:78:52: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:13 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_region.h:1075:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_region.h:1075:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_region.h:1075:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_region.h:1090:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_region.h:1090:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_binary.hpp:60:51: required from 'stan::math::apply_scalar_binary, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&):: >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::&&):: [with auto:59 = stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::; auto:60 = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; auto:61 = const Eigen::ArrayWrapper >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&):: >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&):: > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&):: > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:115:7: required from 'class stan::math::Holder, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&):: >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:312:16: required from 'auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence, const std::tuple&) [with T = Eigen::CwiseBinaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >; long long unsigned int ...Is = {0}; Args = {stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::}; std::index_sequence = std::integer_sequence]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:330:43: required from 'auto stan::math::internal::make_holder_impl(const F&, std::index_sequence, Args&& ...) [with F = stan::math::apply_scalar_binary, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&):: >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::&&)::; long long unsigned int ...Is = {0, 1, 2}; Args = {stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper >&}; std::index_sequence = std::integer_sequence]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:353:36: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:78:39: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = false; T_n = std::vector; T_rate = Eigen::Matrix; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:78:52: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = false; T_n = std::vector; T_rate = Eigen::Matrix; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:50: required from 'stan::math::var stan::math::accumulator::type>::value, void>::type>::sum() const [with T = stan::math::var_value; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type; stan::math::var = stan::math::var_value]' stanExports_rtsapproxlgcp_region.h:1173:26: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:223:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15: required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:900:18: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:39: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:105:28: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:30: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:105:28: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:97:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:97:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:109:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:117:36: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:117:36: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:45:20: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:46:20: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan > >(const char*, const char*, const Eigen::ArrayWrapper >&)::; T = Eigen::ArrayWrapper >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_region.h:1075:59: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative > >(const char*, const char*, const Eigen::ArrayWrapper >&)::; T = Eigen::ArrayWrapper >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:46:20: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = false; T_n = std::vector; T_rate = Eigen::Matrix; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase > >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:333: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >; Derived = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::Block, -1, 1, true>&; T2 = const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:223:24: required from 'void stan::model::assign(Vec1&&, Vec2&&, const char*, index_omni) [with Vec1 = Eigen::Block, -1, 1, true>; Vec2 = const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >&; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:602:9: required from 'void stan::model::assign(Mat1&&, const Mat2&, const char*, const Idx&, index_uni) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >; Idx = index_omni; stan::require_dense_dynamic_t* = 0]' stanExports_rtsapproxlgcp_region.h:350:26: required from 'Eigen::Matrix::type>::type, -1, 1> model_rtsapproxlgcp_region_namespace::phi_nD(const std::vector&, const std::vector&, const T2__&, std::ostream*) [with T0__ = double; T2__ = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_t, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:818:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:82:38: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1070:57: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::Array; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:71:16: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::ArrayWrapper >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::ArrayWrapper >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::ArrayWrapper >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::ArrayWrapper >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::ArrayWrapper >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:71:16: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = false; T_n = std::vector; T_rate = Eigen::Matrix; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsapproxlgcp_region.h:1167:58: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:97:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtsapproxlgcp_region.h:1123:37: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32: required from 'bool boost::operator==(const iterator_range&, const iterator_range&) [with Iterator1T = __gnu_cxx::__normal_iterator >; Iterator2T = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32: required from 'bool boost::algorithm::split_iterator::equal(const boost::algorithm::split_iterator&) const [with IteratorT = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26: required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; mpl_::true_ = mpl_::bool_]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator==(const iterator_facade&, const iterator_facade&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:337: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:166: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:26: required from 'void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1306:32: required from 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1794:21: required from 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:26: required from 'void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1306:32: required from 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1794:21: required from 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:26: required from 'void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1306:32: required from 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1794:21: required from 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:26: required from 'void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1329:30: required from 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1794:21: required from 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:26: required from 'void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1306:32: required from 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1794:21: required from 'void model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsapproxlgcp_region.h:1008:35: required from 'stan::scalar_type_t model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsapproxlgcp_region.h:1805:47: required from 'T_ model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsapproxlgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/sum.hpp:32:18: required from 'stan::math::sum > >(const std::vector, arena_allocator > >&):: mutable [with auto:442 = stan::math::internal::callback_vari > >(const std::vector, arena_allocator > >&):: >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43: required from 'void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::sum > >(const std::vector, arena_allocator > >&)::]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:21: required from 'stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:78:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsapproxlgcp_region_namespace::model_rtsapproxlgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c stanExports_rtslgcp.cc -o stanExports_rtslgcp.o In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3, from stanExports_rtslgcp.h:23, from stanExports_rtslgcp.cc:5: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 361 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\memory:75, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:251:65: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 251 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:508:31: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 508 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:521:22: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 521 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:604:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 604 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:613:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 613 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:615:38: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 615 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from 'struct Eigen::internal::traits > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from 'class Eigen::SolverBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:13, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:43: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combination(std::vector&, const int&, const int&, const int&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:73:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 73 | for (std::size_t i = 0; i < p - 1; i++) { | ~~^~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:79:16: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 79 | } while (k < x); | ~~^~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:102:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 102 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:105:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 105 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::increment(std::vector&, const int&, const double&, const std::vector&, std::vector&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:126:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 126 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:132:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 132 | while ((first_zero < index.size()) && index[first_zero]) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:135:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 135 | if (first_zero == index.size()) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:143:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 143 | for (std::size_t i = 0; i != first_zero + 1; i++) { | ~~^~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::signcombos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:168:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 168 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/aux_/na_assert.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/arg.hpp:25, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/placeholders.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/apply.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_optimization.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_wrapper.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:16: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp: At global scope: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_algobase.h:65, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\specfun.h:45, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\cmath:1935, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27, from stanExports_rtslgcp.cc:3: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:83:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp: In member function 'virtual std::vector > stan::io::dump::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:694:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 694 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:707:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 707 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from 'class Eigen::LLT, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:6: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_exp_quad.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun.hpp:41, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev.hpp:10, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:49: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp: In lambda function: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:85:40: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 85 | for (Eigen::Index pos = 0; pos < l_tri_size; pos++) { | ~~~~^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:36:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:115:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:21: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&):: [with auto:11 = const Eigen::Matrix, -1, 1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::; Args = {const Eigen::Matrix, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix, -1, 1>&; stan::require_eigen_t* = 0; stan::require_not_st_arithmetic* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/initialize.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function 'virtual std::vector > stan::io::random_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp:111:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 111 | for (comp_iter = 0, real_iter = 0; real_iter < val_r.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:99:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from 'auto stan::math::to_matrix(const std::vector&, int, int) [with T = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:68: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function 'virtual std::vector > stan::io::array_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:304:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 304 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:317:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 317 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:169 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_t::type> >* = 0; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]' stanExports_rtslgcp.h:573:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:169 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_t::type> >* = 0; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]' stanExports_rtslgcp.h:573:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0, Eigen::Stride<0, 0> >, void>::apply, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0, Eigen::Stride<0, 0> >, void>::apply, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_t::type> >* = 0; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]' stanExports_rtslgcp.h:573:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Mat2 = Eigen::Matrix; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]' stanExports_rtslgcp.h:951:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:21: required from 'auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = Eigen::Matrix&; stan::require_vector_t* = 0; stan::require_not_std_vector_t* = 0]' stanExports_rtslgcp.h:969:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Mat2 = Eigen::Product, Eigen::Matrix, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtslgcp.h:963:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:251:15: required from 'auto stan::model::rvalue(Mat&&, const char*, index_uni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; stan::require_dense_dynamic_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:583:16: required from 'auto stan::model::rvalue(Mat&&, const char*, const Idx&, index_omni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; Idx = index_uni; stan::require_dense_dynamic_t* = 0]' stanExports_rtslgcp.h:1009:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar&>(const std::vector&)::; Args = {const std::vector >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector&; stan::require_std_vector_t* = 0; stan::require_not_std_vector_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:51: required from 'stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&):: [with auto:9 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&)::; T2 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_t::type> >* = 0; T = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from 'auto stan::math::fabs(const Container&) [with Container = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&):: [with auto:169 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&)::; T2 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_t::type> >* = 0; T = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long unsigned int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:97:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] stanExports_rtslgcp.h: In instantiation of 'void model_rtslgcp_namespace::model_rtslgcp::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtslgcp.h:1361:27: required from here stanExports_rtslgcp.h:1035:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] 1035 | int pos__ = std::numeric_limits::min(); | ^~~~~ stanExports_rtslgcp.h: In instantiation of 'void model_rtslgcp_namespace::model_rtslgcp::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtslgcp.h:1371:27: required from here stanExports_rtslgcp.h:1035:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]': stanExports_rtslgcp.cc:30:89: required from here D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1252:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable] 1252 | int ret = stan::services::error_codes::CONFIG; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rcompile\cranincoming\r-devel\lib\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:12: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit)))>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta.hpp:70, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long long unsigned int; T_high = long long int; stan::require_all_stan_scalar_t* = 0; Idxs = {}]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36: required from 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'const long long int' [-Wsign-compare] 39 | if (unlikely(!(y <= high))) { | ~~~^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro 'unlikely' 9 | #define unlikely(x) __builtin_expect(!!(x), 0) | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtslgcp.h:1008:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtslgcp.h:1008:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:217, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:14: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lub_free.hpp: In instantiation of 'auto stan::math::lub_free(std::vector, const L&, const U&) [with T = double; L = int; U = int; stan::require_all_not_std_vector_t* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/serializer.hpp:281:37: required from 'void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = std::vector; L = int; U = int; T = double]' stanExports_rtslgcp.h:1137:27: required from 'void model_rtslgcp_namespace::model_rtslgcp::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1352:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:133:30: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 133 | for (Eigen::Index i = 0; i < y.size(); ++i) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; Eigen::MatrixXd = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55:22: warning: comparison of integer expressions of different signedness: 'std::vector >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 55 | if (p_names.size() != draws.cols()) { | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:71:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 71 | for (size_t i = 0; i < draws.rows(); ++i) { | ~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:67: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:22: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept >, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::token_finderF >; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:98:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FormatterConcept >, boost::algorithm::detail::first_finderF, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:103:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:65:18: note: in a call to non-static member function 'void boost::algorithm::FormatterConcept::constraints() [with FormatterT = boost::algorithm::detail::const_formatF >; FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 65 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:330: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:277: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtslgcp.h:1008:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:755:37: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:755:37: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:755:37: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:755:37: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:755:37: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:755:37: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1>&>(const Eigen::Matrix, -1, -1>&):: [with auto:11 = const Eigen::Matrix, -1, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:168:61: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:755:37: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:755:37: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:755:37: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:35:44: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:66: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:24: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:38: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:53: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:37: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1> >&>(arena_matrix, -1, -1> >&):: [with auto:11 = stan::math::arena_matrix, -1, -1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:48: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:46: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:37: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtslgcp.h:766:30: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> > >, Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtslgcp.h:766:30: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:39: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtslgcp.h:766:30: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:32: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtslgcp.h:831:43: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:35: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtslgcp.h:831:43: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:9: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtslgcp.h:831:43: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:44: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtslgcp.h:831:43: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:47: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtslgcp.h:831:43: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:39:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:40:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/beta.hpp:1721, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/binomial.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/choose.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp: In instantiation of 'boost::math::detail::temme_root_finder::temme_root_finder(T, T) [with T = double]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:304:7: required from 'T boost::math::detail::temme_method_2_ibeta_inverse(T, T, T, T, T, const Policy&) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:615:48: required from 'T boost::math::detail::ibeta_inv_imp(T, T, T, T, const Policy&, T*) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:992:30: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(T1, T2, T3, T4*, const Policy&) [with T1 = double; T2 = double; T3 = double; T4 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:1023:20: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(RT1, RT2, RT3, const Policy&) [with RT1 = double; RT2 = double; RT3 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/inv_inc_beta.hpp:32:32: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:29:15: warning: unused variable 'x_extrema' [-Wunused-variable] 29 | const T x_extrema = 1 / (1 + a); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Mat2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtslgcp.h:831:43: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtslgcp.h:830:41: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:64: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:79:62: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:94:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:96:35: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:45: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:59: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:813:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:813:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:44:68: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/exp.hpp:63:51: required from 'stan::math::exp >(const Eigen::Array&):: [with auto:215 = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:72:59: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:74:38: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:79:30: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:79:23: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:83:39: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:13 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp.h:813:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp.h:813:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&):: [with auto:13 = const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&)::; Args = {const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:83:39: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = false; T_n = std::vector; T_log_rate = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:50: required from 'stan::math::var stan::math::accumulator::type>::value, void>::type>::sum() const [with T = stan::math::var_value; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type; stan::math::var = stan::math::var_value]' stanExports_rtslgcp.h:838:26: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:223:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_rtslgcp_namespace::model_rtslgcp; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_rtslgcp_namespace::model_rtslgcp; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15: required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:900:18: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:46:20: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:86:28: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:30: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:86:28: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:333: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:82:38: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = double; T_scale = double; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:798:59: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::Array; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:76:16: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseUnaryOp, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:76:16: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = false; T_n = std::vector; T_log_rate = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32: required from 'bool boost::operator==(const iterator_range&, const iterator_range&) [with Iterator1T = __gnu_cxx::__normal_iterator >; Iterator2T = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32: required from 'bool boost::algorithm::split_iterator::equal(const boost::algorithm::split_iterator&) const [with IteratorT = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26: required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; mpl_::true_ = mpl_::bool_]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator==(const iterator_facade&, const iterator_facade&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:337: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:166: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>&; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:26: required from 'void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]' stanExports_rtslgcp.h:950:32: required from 'void model_rtslgcp_namespace::model_rtslgcp::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1324:21: required from 'void model_rtslgcp_namespace::model_rtslgcp::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_namespace::model_rtslgcp; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp.h:754:35: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_namespace::model_rtslgcp; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtslgcp.h:829:62: required from 'stan::scalar_type_t model_rtslgcp_namespace::model_rtslgcp::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp.h:1335:47: required from 'T_ model_rtslgcp_namespace::model_rtslgcp::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_namespace::model_rtslgcp; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_namespace::model_rtslgcp; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/sum.hpp:32:18: required from 'stan::math::sum > >(const std::vector, arena_allocator > >&):: mutable [with auto:442 = stan::math::internal::callback_vari > >(const std::vector, arena_allocator > >&):: >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43: required from 'void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::sum > >(const std::vector, arena_allocator > >&)::]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:21: required from 'stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_rtslgcp_namespace::model_rtslgcp; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:78:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_namespace::model_rtslgcp; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c stanExports_rtslgcp_region.cc -o stanExports_rtslgcp_region.o In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3, from stanExports_rtslgcp_region.h:23, from stanExports_rtslgcp_region.cc:5: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 361 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\memory:75, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:251:65: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 251 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:508:31: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 508 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:521:22: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 521 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:604:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 604 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:613:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 613 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:615:38: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 615 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from 'struct Eigen::internal::traits > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from 'class Eigen::SolverBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:13, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:43: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combination(std::vector&, const int&, const int&, const int&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:73:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 73 | for (std::size_t i = 0; i < p - 1; i++) { | ~~^~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:79:16: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 79 | } while (k < x); | ~~^~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:102:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 102 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:105:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 105 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::increment(std::vector&, const int&, const double&, const std::vector&, std::vector&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:126:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 126 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:132:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 132 | while ((first_zero < index.size()) && index[first_zero]) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:135:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 135 | if (first_zero == index.size()) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:143:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 143 | for (std::size_t i = 0; i != first_zero + 1; i++) { | ~~^~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::signcombos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:168:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 168 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/aux_/na_assert.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/arg.hpp:25, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/placeholders.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/apply.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_optimization.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_wrapper.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:16: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp: At global scope: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_algobase.h:65, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\specfun.h:45, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\cmath:1935, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27, from stanExports_rtslgcp_region.cc:3: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:83:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp: In member function 'virtual std::vector > stan::io::dump::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:694:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 694 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:707:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 707 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from 'class Eigen::LLT, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:6: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_exp_quad.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun.hpp:41, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev.hpp:10, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:49: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp: In lambda function: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:85:40: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 85 | for (Eigen::Index pos = 0; pos < l_tri_size; pos++) { | ~~~~^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:36:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:115:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:21: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&):: [with auto:11 = const Eigen::Matrix, -1, 1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::; Args = {const Eigen::Matrix, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix, -1, 1>&; stan::require_eigen_t* = 0; stan::require_not_st_arithmetic* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/initialize.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function 'virtual std::vector > stan::io::random_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp:111:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 111 | for (comp_iter = 0, real_iter = 0; real_iter < val_r.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:99:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from 'auto stan::math::to_matrix(const std::vector&, int, int) [with T = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:68: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function 'virtual std::vector > stan::io::array_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:304:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 304 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:317:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 317 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:169 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_t::type> >* = 0; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]' stanExports_rtslgcp_region.h:715:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:169 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_t::type> >* = 0; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]' stanExports_rtslgcp_region.h:715:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0, Eigen::Stride<0, 0> >, void>::apply, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0, Eigen::Stride<0, 0> >, void>::apply, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; T2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_t::type> >* = 0; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]' stanExports_rtslgcp_region.h:715:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:251:15: required from 'auto stan::model::rvalue(Mat&&, const char*, index_uni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; stan::require_dense_dynamic_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:583:16: required from 'auto stan::model::rvalue(Mat&&, const char*, const Idx&, index_omni) [with Mat = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; Idx = index_uni; stan::require_dense_dynamic_t* = 0]' stanExports_rtslgcp_region.h:1067:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:21: required from 'auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = Eigen::Matrix&; stan::require_vector_t* = 0; stan::require_not_std_vector_t* = 0]' stanExports_rtslgcp_region.h:1219:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from 'auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::VectorBlock, -1>; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]' stanExports_rtslgcp_region.h:1216:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Mat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtslgcp_region.h:1225:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]' stanExports_rtslgcp_region.h:1248:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtslgcp_region.h:1247:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar&>(const std::vector&)::; Args = {const std::vector >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector&; stan::require_std_vector_t* = 0; stan::require_not_std_vector_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:51: required from 'stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&):: [with auto:9 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&)::; T2 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_t::type> >* = 0; T = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from 'auto stan::math::fabs(const Container&) [with Container = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&):: [with auto:169 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&)::; T2 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_t::type> >* = 0; T = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long unsigned int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:97:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:66: required from 'stan::math::value_of_rec, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:1 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::; Args = {Eigen::Map, 0, Eigen::Stride<0, 0> >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21: required from 'auto stan::math::value_of_rec(T&&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; = void; = void]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:30: required from 'void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = std::vector; T_low = int; stan::require_vector_t* = 0; stan::require_not_std_vector_vt* = 0; stan::require_stan_scalar_t* = 0; Idxs = {}]' stanExports_rtslgcp_region.h:470:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ stanExports_rtslgcp_region.h: In instantiation of 'void model_rtslgcp_region_namespace::model_rtslgcp_region::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtslgcp_region.h:1730:27: required from here stanExports_rtslgcp_region.h:1343:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] 1343 | int pos__ = std::numeric_limits::min(); | ^~~~~ stanExports_rtslgcp_region.h: In instantiation of 'void model_rtslgcp_region_namespace::model_rtslgcp_region::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtslgcp_region.h:1740:27: required from here stanExports_rtslgcp_region.h:1343:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]': stanExports_rtslgcp_region.cc:30:89: required from here D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1252:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable] 1252 | int ret = stan::services::error_codes::CONFIG; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rcompile\cranincoming\r-devel\lib\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:12: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit)))>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta.hpp:70, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long long unsigned int; T_high = long long int; stan::require_all_stan_scalar_t* = 0; Idxs = {}]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36: required from 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'const long long int' [-Wsign-compare] 39 | if (unlikely(!(y <= high))) { | ~~~^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro 'unlikely' 9 | #define unlikely(x) __builtin_expect(!!(x), 0) | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtslgcp_region.h:1274:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtslgcp_region.h:1274:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:217, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:14: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lub_free.hpp: In instantiation of 'auto stan::math::lub_free(std::vector, const L&, const U&) [with T = double; L = int; U = int; stan::require_all_not_std_vector_t* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/serializer.hpp:281:37: required from 'void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = std::vector; L = int; U = int; T = double]' stanExports_rtslgcp_region.h:1474:27: required from 'void model_rtslgcp_region_namespace::model_rtslgcp_region::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1721:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:133:30: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 133 | for (Eigen::Index i = 0; i < y.size(); ++i) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; Eigen::MatrixXd = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55:22: warning: comparison of integer expressions of different signedness: 'std::vector >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 55 | if (p_names.size() != draws.cols()) { | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:71:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 71 | for (size_t i = 0; i < draws.rows(); ++i) { | ~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:67: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:22: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept >, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::token_finderF >; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:98:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FormatterConcept >, boost::algorithm::detail::first_finderF, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:103:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:65:18: note: in a call to non-static member function 'void boost::algorithm::FormatterConcept::constraints() [with FormatterT = boost::algorithm::detail::const_formatF >; FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 65 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:330: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:277: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_product.hpp:26:16: required from 'auto stan::math::dot_product(const Vec1&, const Vec2&) [with Vec1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Vec2 = Eigen::Matrix; stan::require_all_eigen_vector_t* = 0; stan::require_not_var_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:152:21: required from 'auto stan::math::multiply(const RowVec&, const ColVec&) [with RowVec = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ColVec = Eigen::Matrix; stan::require_not_var_t::type>* = 0; stan::require_eigen_row_and_col_t* = 0]' stanExports_rtslgcp_region.h:1274:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:56: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:930:35: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:64: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:930:35: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:930:35: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:150:39: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:930:35: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:26: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:930:35: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:930:35: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&):: [with auto:11 = const Eigen::VectorBlock, -1, 1>, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:168:61: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:930:35: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:58: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:930:35: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:930:35: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = var_value; T2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:930:35: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:37: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtslgcp_region.h:939:30: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:47: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtslgcp_region.h:939:30: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1, 0, -1, 1>, -1, 1, false> > >, Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::VectorBlock, -1, 1, 0, -1, 1>, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>, -1, 1, false> >::val_Op, const Eigen::Block, -1, 1>, -1, 1, false> > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::VectorBlock, -1, 1, 0, -1, 1>, -1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtslgcp_region.h:939:30: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:39: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::VectorBlock, -1, 1>, -1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtslgcp_region.h:939:30: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:34:44: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:66: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:38: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:53: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:37: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1> >&>(arena_matrix, -1, -1> >&):: [with auto:11 = stan::math::arena_matrix, -1, -1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:48: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:46: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> > >, Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:9: required from 'auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]' stanExports_rtslgcp_region.h:961:26: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:32: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtslgcp_region.h:1089:43: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:35: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtslgcp_region.h:1089:43: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:9: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtslgcp_region.h:1089:43: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:47: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtslgcp_region.h:1089:43: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:39:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:40:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/beta.hpp:1721, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/binomial.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/choose.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp: In instantiation of 'boost::math::detail::temme_root_finder::temme_root_finder(T, T) [with T = double]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:304:7: required from 'T boost::math::detail::temme_method_2_ibeta_inverse(T, T, T, T, T, const Policy&) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:615:48: required from 'T boost::math::detail::ibeta_inv_imp(T, T, T, T, const Policy&, T*) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:992:30: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(T1, T2, T3, T4*, const Policy&) [with T1 = double; T2 = double; T3 = double; T4 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:1023:20: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(RT1, RT2, RT3, const Policy&) [with RT1 = double; RT2 = double; RT3 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/inv_inc_beta.hpp:32:32: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:29:15: warning: unused variable 'x_extrema' [-Wunused-variable] 29 | const T x_extrema = 1 / (1 + a); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Mat2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtslgcp_region.h:1089:43: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtslgcp_region.h:1088:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&)::::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>, 0, Eigen::Stride<0, 0> > > >(Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:64: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:79:62: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:94:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:96:35: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:45: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:59: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:64: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1021:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:253:50: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1>&>(const Eigen::Matrix, -1, -1>&):: [with auto:11 = const Eigen::Matrix, -1, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:258:41: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_tri.hpp:40:13: required from 'auto stan::math::mdivide_left_tri(const T1&, const T2&) [with Eigen::UpLoType TriView = Eigen::Lower; T1 = Eigen::Matrix; T2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_eigen_vt* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:260:44: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_right_tri.hpp:46:13: required from 'auto stan::math::mdivide_right_tri(const EigMat1&, const EigMat2&) [with Eigen::UpLoType TriView = Eigen::Lower; EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:263:52: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 2>, Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 2>, Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_right_tri.hpp:47:17: required from 'auto stan::math::mdivide_right_tri(const EigMat1&, const EigMat2&) [with Eigen::UpLoType TriView = Eigen::Lower; EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:263:52: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:266:24: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:266:24: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:266:24: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' d:\rcompile\cranincoming\r-devel\lib\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:273:68: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:273:15: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:274:28: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView, 1>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView, 1>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:27: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView, 1>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView, 1>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView, 1>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView, 1>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:277:35: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:281:26: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:281:33: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:253:50: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1045:76: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, 1, -1> >&>(arena_matrix, 1, -1> >&):: [with auto:11 = stan::math::arena_matrix, 1, -1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:95:65: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1> >&>(arena_matrix, -1, 1> >&):: [with auto:11 = stan::math::arena_matrix, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:96:65: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:22: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:75: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:44: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:44: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:102:33: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:103:57: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:103:65: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:103:68: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/exp.hpp:63:51: required from 'stan::math::exp >(const Eigen::Array&):: [with auto:215 = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:72:59: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1087:62: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:74:38: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1087:62: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:79:30: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1087:62: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:79:23: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1087:62: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:83:39: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1087:62: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:13 = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp_region.h:1021:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp_region.h:1021:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:253:50: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock, -1>; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&):: [with auto:13 = const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&)::; Args = {const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtslgcp_region.h:1087:62: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:83:39: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = false; T_n = std::vector; T_log_rate = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp_region.h:1087:62: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:50: required from 'stan::math::var stan::math::accumulator::type>::value, void>::type>::sum() const [with T = stan::math::var_value; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type; stan::math::var = stan::math::var_value]' stanExports_rtslgcp_region.h:1096:26: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:223:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15: required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:900:18: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:30: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:105:28: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1021:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >(const char*, const char*, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >&)::; T = Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:236:15: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> > >(const char*, const char*, const Eigen::CwiseUnaryOp, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >&)::; T = Eigen::CwiseUnaryOp, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::CwiseUnaryOp, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:237:16: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, -1, 1>, -1>&>(const Eigen::VectorBlock, -1, 1>, -1>&)::::, const Eigen::Block, -1, 1>, -1, 1, false> > >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:284:31: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:294:28: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:39: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, -1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:294:28: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:294:28: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:30: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, -1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:294:28: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >(const char*, const char*, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >&)::; T = Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:237:16: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1045:76: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:97:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:97:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:109:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:117:36: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1> >&>(arena_matrix, 1, -1> >&)::::, const Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:117:36: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:46:20: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1087:62: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = std::vector; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan > >(const char*, const char*, const Eigen::ArrayWrapper >&)::; T = Eigen::ArrayWrapper >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp_region.h:1021:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase > >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1> >(const char*, const char*, const Eigen::VectorBlock, -1>&)::; T = Eigen::VectorBlock, -1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:237:16: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock, -1>; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, -1, 1, false> >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:333: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:82:38: required from 'stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = true; T_y = std::vector, std::allocator > >; T_loc = int; T_scale = int; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1005:59: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::Array; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:76:16: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1087:62: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseUnaryOp, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:76:16: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = false; T_n = std::vector; T_log_rate = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Matrix >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtslgcp_region.h:1087:62: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >; unsigned int _Mode = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >; unsigned int _Mode = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_tri.hpp:62:52: required from 'stan::plain_type_t stan::math::mdivide_left_tri(const T&) [with Eigen::UpLoType TriView = Eigen::Lower; T = Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >; stan::require_eigen_t* = 0; stan::plain_type_t = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:270:43: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >; unsigned int _Mode = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >; unsigned int _Mode = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/mdivide_left_tri.hpp:62:52: required from 'stan::plain_type_t stan::math::mdivide_left_tri(const T&) [with Eigen::UpLoType TriView = Eigen::Lower; T = Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >; stan::require_eigen_t* = 0; stan::plain_type_t = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:270:43: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/dot_self.hpp:31:23: required from 'stan::value_type_t stan::math::dot_self(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; stan::require_not_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:284:31: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:97:30: required from 'stan::math::var stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_row_and_col_vector_t* = 0; var = var_value]' stanExports_rtslgcp_region.h:1066:39: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32: required from 'bool boost::operator==(const iterator_range&, const iterator_range&) [with Iterator1T = __gnu_cxx::__normal_iterator >; Iterator2T = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32: required from 'bool boost::algorithm::split_iterator::equal(const boost::algorithm::split_iterator&) const [with IteratorT = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26: required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; mpl_::true_ = mpl_::bool_]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator==(const iterator_facade&, const iterator_facade&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:337: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:166: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:19: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:5: required from 'void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::Matrix&; T2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >; stan::require_all_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:24: required from 'void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]' stanExports_rtslgcp_region.h:1246:28: required from 'void model_rtslgcp_region_namespace::model_rtslgcp_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1693:21: required from 'void model_rtslgcp_region_namespace::model_rtslgcp_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int Mode = 1; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:272:12: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:19: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:19: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:19: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtslgcp_region.h:962:33: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:44:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:272:12: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::InnerStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:48:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:272:12: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:272:12: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:272:12: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:272:12: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:56: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const RhsScalar&) [with Index = long long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:272:12: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:19: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:19: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:19: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:19: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:19: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:19: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:19: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Derived = Eigen::Block >, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:276:19: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:272:12: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:272:12: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:272:12: required from 'stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = true; T_y = Eigen::VectorBlock, -1, 1>, -1>; T_loc = Eigen::Matrix, -1, 1>; T_covar = Eigen::Matrix, -1, -1>; stan::require_all_vector_vt* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtslgcp_region.h:1031:41: required from 'stan::scalar_type_t model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtslgcp_region.h:1704:47: required from 'T_ model_rtslgcp_region_namespace::model_rtslgcp_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtslgcp_region_namespace::model_rtslgcp_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtslgcp_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/sum.hpp:32:18: required from 'stan::math::sum > >(const std::vector, arena_allocator > >&):: mutable [with auto:442 = stan::math::internal::callback_vari > >(const std::vector, arena_allocator > >&):: >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43: required from 'void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::sum > >(const std::vector, arena_allocator > >&)::]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:21: required from 'stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:78:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtslgcp_region_namespace::model_rtslgcp_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c stanExports_rtsmcml_poisson.cc -o stanExports_rtsmcml_poisson.o In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3, from stanExports_rtsmcml_poisson.h:23, from stanExports_rtsmcml_poisson.cc:5: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 361 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\memory:75, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:251:65: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 251 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:508:31: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 508 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:521:22: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 521 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:604:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 604 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:613:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 613 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:615:38: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 615 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from 'struct Eigen::internal::traits > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from 'class Eigen::SolverBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:13, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:43: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combination(std::vector&, const int&, const int&, const int&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:73:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 73 | for (std::size_t i = 0; i < p - 1; i++) { | ~~^~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:79:16: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 79 | } while (k < x); | ~~^~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:102:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 102 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:105:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 105 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::increment(std::vector&, const int&, const double&, const std::vector&, std::vector&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:126:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 126 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:132:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 132 | while ((first_zero < index.size()) && index[first_zero]) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:135:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 135 | if (first_zero == index.size()) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:143:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 143 | for (std::size_t i = 0; i != first_zero + 1; i++) { | ~~^~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::signcombos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:168:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 168 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/aux_/na_assert.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/arg.hpp:25, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/placeholders.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/apply.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_optimization.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_wrapper.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:16: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp: At global scope: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_algobase.h:65, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\specfun.h:45, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\cmath:1935, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27, from stanExports_rtsmcml_poisson.cc:3: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:83:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp: In member function 'virtual std::vector > stan::io::dump::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:694:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 694 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:707:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 707 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from 'class Eigen::LLT, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:6: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_exp_quad.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun.hpp:41, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev.hpp:10, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:49: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp: In lambda function: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:85:40: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 85 | for (Eigen::Index pos = 0; pos < l_tri_size; pos++) { | ~~~~^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:36:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:115:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:21: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&):: [with auto:11 = const Eigen::Matrix, -1, 1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::; Args = {const Eigen::Matrix, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix, -1, 1>&; stan::require_eigen_t* = 0; stan::require_not_st_arithmetic* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/initialize.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function 'virtual std::vector > stan::io::random_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp:111:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 111 | for (comp_iter = 0, real_iter = 0; real_iter < val_r.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:99:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from 'auto stan::math::to_matrix(const std::vector&, int, int) [with T = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:68: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function 'virtual std::vector > stan::io::array_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:304:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 304 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:317:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 317 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]' stanExports_rtsmcml_poisson.h:324:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Mat2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]' stanExports_rtsmcml_poisson.h:324:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar&>(const std::vector&)::; Args = {const std::vector >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector&; stan::require_std_vector_t* = 0; stan::require_not_std_vector_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:51: required from 'stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&):: [with auto:9 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&)::; T2 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_t::type> >* = 0; T = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from 'auto stan::math::fabs(const Container&) [with Container = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&):: [with auto:169 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&)::; T2 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_t::type> >* = 0; T = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long unsigned int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:97:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] stanExports_rtsmcml_poisson.h: In instantiation of 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsmcml_poisson.h:542:27: required from here stanExports_rtsmcml_poisson.h:350:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] 350 | int pos__ = std::numeric_limits::min(); | ^~~~~ stanExports_rtsmcml_poisson.h: In instantiation of 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsmcml_poisson.h:552:27: required from here stanExports_rtsmcml_poisson.h:350:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]': stanExports_rtsmcml_poisson.cc:30:89: required from here D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1252:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable] 1252 | int ret = stan::services::error_codes::CONFIG; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rcompile\cranincoming\r-devel\lib\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:12: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit)))>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta.hpp:70, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long long unsigned int; T_high = long long int; stan::require_all_stan_scalar_t* = 0; Idxs = {}]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36: required from 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'const long long int' [-Wsign-compare] 39 | if (unlikely(!(y <= high))) { | ~~~^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro 'unlikely' 9 | #define unlikely(x) __builtin_expect(!!(x), 0) | ^ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; Eigen::MatrixXd = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55:22: warning: comparison of integer expressions of different signedness: 'std::vector >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 55 | if (p_names.size() != draws.cols()) { | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:71:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 71 | for (size_t i = 0; i < draws.rows(); ++i) { | ~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:67: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:22: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept >, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::token_finderF >; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:98:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FormatterConcept >, boost::algorithm::detail::first_finderF, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:103:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:65:18: note: in a call to non-static member function 'void boost::algorithm::FormatterConcept::constraints() [with FormatterT = boost::algorithm::detail::const_formatF >; FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 65 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ stanExports_rtsmcml_poisson.h: In instantiation of 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here stanExports_rtsmcml_poisson.h:300:20: warning: unused variable 'jacobian__' [-Wunused-variable] 300 | constexpr bool jacobian__ = false; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:330: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:34:44: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, -1, 0, -1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, -1, 0, -1, -1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1>&>(const Eigen::Matrix, -1, -1>&):: [with auto:11 = const Eigen::Matrix, -1, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:56:58: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:53: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:37: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1> >&>(arena_matrix, -1, -1> >&):: [with auto:11 = stan::math::arena_matrix, -1, -1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:48: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, -1, 0, -1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, -1, 0, -1, -1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:46: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:24: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13: required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson.h:267:41: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:32: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13: required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson.h:267:41: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:13 = const Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13: required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson.h:267:41: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:35: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13: required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson.h:267:41: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from 'struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:20:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:9: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13: required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson.h:267:41: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13: required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson.h:267:41: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13: required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson.h:267:41: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:47: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13: required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson.h:267:41: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13: required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson.h:267:41: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:152:61: required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:13: required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson.h:267:41: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:39:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:40:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/beta.hpp:1721, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/binomial.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/choose.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:46, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:14: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp: In instantiation of 'boost::math::detail::temme_root_finder::temme_root_finder(T, T) [with T = double]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:304:7: required from 'T boost::math::detail::temme_method_2_ibeta_inverse(T, T, T, T, T, const Policy&) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:615:48: required from 'T boost::math::detail::ibeta_inv_imp(T, T, T, T, const Policy&, T*) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:992:30: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(T1, T2, T3, T4*, const Policy&) [with T1 = double; T2 = double; T3 = double; T4 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:1023:20: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(RT1, RT2, RT3, const Policy&) [with RT1 = double; RT2 = double; RT3 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/inv_inc_beta.hpp:32:32: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:29:15: warning: unused variable 'x_extrema' [-Wunused-variable] 29 | const T x_extrema = 1 / (1 + a); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:277: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsmcml_poisson.h:267:41: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:44:68: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/exp.hpp:63:51: required from 'stan::math::exp >(const Eigen::Array&):: [with auto:215 = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:72:59: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:74:38: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:79:30: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:79:23: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:83:39: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >&):: [with auto:13 = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >&)::; Args = {const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:83:39: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = false; T_n = std::vector; T_log_rate = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:50: required from 'stan::math::var stan::math::accumulator::type>::value, void>::type>::sum() const [with T = stan::math::var_value; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type; stan::math::var = stan::math::var_value]' stanExports_rtsmcml_poisson.h:273:26: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:223:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15: required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:900:18: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:46:20: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:47:16: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:86:28: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:30: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:86:28: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:333: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::Array; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:76:16: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = true; T_n = std::vector; T_log_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseUnaryOp, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_log_lpmf.hpp:76:16: required from 'stan::return_type_t stan::math::poisson_log_lpmf(const T_n&, const T_log_rate&) [with bool propto = false; T_n = std::vector; T_log_rate = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]' stanExports_rtsmcml_poisson.h:266:62: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32: required from 'bool boost::operator==(const iterator_range&, const iterator_range&) [with Iterator1T = __gnu_cxx::__normal_iterator >; Iterator2T = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32: required from 'bool boost::algorithm::split_iterator::equal(const boost::algorithm::split_iterator&) const [with IteratorT = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26: required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; mpl_::true_ = mpl_::bool_]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator==(const iterator_facade&, const iterator_facade&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:337: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:166: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson.h:259:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:516:47: required from 'T_ model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson.h:323:30: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson.h:505:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/sum.hpp:32:18: required from 'stan::math::sum > >(const std::vector, arena_allocator > >&):: mutable [with auto:442 = stan::math::internal::callback_vari > >(const std::vector, arena_allocator > >&):: >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43: required from 'void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::sum > >(const std::vector, arena_allocator > >&)::]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:21: required from 'stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:78:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] stanExports_rtsmcml_poisson.h: In instantiation of 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = Eigen::Matrix; VecI = std::vector; VecVar = Eigen::Matrix; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsmcml_poisson.h:489:21: required from 'void model_rtsmcml_poisson_namespace::model_rtsmcml_poisson::write_array(RNG&, Eigen::Matrix&, Eigen::Matrix&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/model_base_crtp.hpp:140:61: required from 'void stan::model::model_base_crtp::write_array(boost::random::ecuyer1988&, Eigen::VectorXd&, Eigen::VectorXd&, bool, bool, std::ostream*) const [with M = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; boost::random::ecuyer1988 = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::VectorXd = Eigen::Matrix; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/model_base_crtp.hpp:136:8: required from here stanExports_rtsmcml_poisson.h:300:20: warning: unused variable 'jacobian__' [-Wunused-variable] 300 | constexpr bool jacobian__ = false; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_namespace::model_rtsmcml_poisson; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c stanExports_rtsmcml_poisson_region.cc -o stanExports_rtsmcml_poisson_region.o In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:3, from stanExports_rtsmcml_poisson_region.h:23, from stanExports_rtsmcml_poisson_region.cc:5: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/shared_ptr.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/time_clock.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/rstaninc.hpp:4: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 361 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\memory:75, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:7: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:251:65: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 251 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:508:31: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 508 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:521:22: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 521 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:604:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 604 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:613:34: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 613 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/smart_ptr/shared_ptr.hpp:615:38: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 615 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from 'struct Eigen::internal::traits > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from 'class Eigen::SolverBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from 'class Eigen::LDLT >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:52: required from 'stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/one_hot_vector.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:13, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:43: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combination(std::vector&, const int&, const int&, const int&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:73:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 73 | for (std::size_t i = 0; i < p - 1; i++) { | ~~^~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:79:16: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 79 | } while (k < x); | ~~^~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:102:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 102 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:105:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 105 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::increment(std::vector&, const int&, const double&, const std::vector&, std::vector&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:126:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare] 126 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:132:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 132 | while ((first_zero < index.size()) && index[first_zero]) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:135:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 135 | if (first_zero == index.size()) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:143:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 143 | for (std::size_t i = 0; i != first_zero + 1; i++) { | ~~^~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::signcombos(const int&, const double&, const int&, std::vector >&)': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:168:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 168 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/aux_/na_assert.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/arg.hpp:25, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/placeholders.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/apply.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_optimization.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array_wrapper.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/serialization/array.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:22, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/vector.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint.hpp:25, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor.hpp:16: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp: At global scope: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/traits.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/storage.hpp:27: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_algobase.h:65, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\specfun.h:45, from d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\cmath:1935, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/platform/compiler.h:100, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/r/headers.h:62, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:30, from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:27, from stanExports_rtsmcml_poisson_region.cc:3: d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: 'template struct std::iterator' is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/fusion/include/make_fused.hpp:11, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:28, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\unique_ptr.h:64:28: note: declared here 64 | template class auto_ptr; | ^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:83:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp: In member function 'virtual std::vector > stan::io::dump::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:694:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 694 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/dump.hpp:707:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 707 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:16: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from 'class Eigen::LLT, 0, Eigen::OuterStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:6: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:17: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:50: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:27: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:46: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:23: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_exp_quad.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun.hpp:41, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev.hpp:10, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:8, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:49: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp: In lambda function: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:85:40: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare] 85 | for (Eigen::Index pos = 0; pos < l_tri_size; pos++) { | ~~~~^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:63: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:70: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:36:28: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:115:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:44: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:11: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:40: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:78: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:21: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from 'class Eigen::DiagonalBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from 'class Eigen::DiagonalWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:41: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:72: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:73: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:54: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:57: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:61: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&):: [with auto:11 = const Eigen::Matrix, -1, 1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::; Args = {const Eigen::Matrix, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix, -1, 1>&; stan::require_eigen_t* = 0; stan::require_not_st_arithmetic* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:65: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/initialize.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function 'virtual std::vector > stan::io::random_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/random_var_context.hpp:111:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 111 | for (comp_iter = 0, real_iter = 0; real_iter < val_r.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:99:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:62: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:66: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:60: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:64: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:18: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:23: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:55: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from 'auto stan::math::to_matrix(const std::vector&, int, int) [with T = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:33: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:68: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function 'virtual std::vector > stan::io::array_var_context::vals_c(const std::string&) const': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:304:52: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 304 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:317:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 317 | real_iter < val_i->second.first.size(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:19:7: required from 'class stan::math::arena_matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]' stanExports_rtsmcml_poisson_region.h:460:52: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from 'auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Mat2 = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]' stanExports_rtsmcml_poisson_region.h:460:31: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar&>(const std::vector&)::; Args = {const std::vector >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector&; stan::require_std_vector_t* = 0; stan::require_not_std_vector_t::type>* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:51: required from 'stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&):: [with auto:9 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&)::; T2 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_t::type> >* = 0; T = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from 'auto stan::math::fabs(const Container&) [with Container = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:66:51: required from 'stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&):: [with auto:169 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&)::; T2 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_t::type> >* = 0; T = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from 'auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from 'struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from 'auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from 'stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long unsigned int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:97:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] stanExports_rtsmcml_poisson_region.h: In instantiation of 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsmcml_poisson_region.h:678:27: required from here stanExports_rtsmcml_poisson_region.h:486:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] 486 | int pos__ = std::numeric_limits::min(); | ^~~~~ stanExports_rtsmcml_poisson_region.h: In instantiation of 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsmcml_poisson_region.h:688:27: required from here stanExports_rtsmcml_poisson_region.h:486:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable] D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]': stanExports_rtsmcml_poisson_region.cc:30:89: required from here D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1252:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable] 1252 | int ret = stan::services::error_codes::CONFIG; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:\rcompile\cranincoming\r-devel\lib\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:12: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit)))>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:30: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:29: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from 'void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:31: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:27: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta.hpp:70, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/core.hpp:4, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:10: D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long long unsigned int; T_high = long long int; stan::require_all_stan_scalar_t* = 0; Idxs = {}]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36: required from 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/array_var_context.hpp:118:48: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'const long long int' [-Wsign-compare] 39 | if (unlikely(!(y <= high))) { | ~~~^~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro 'unlikely' 9 | #define unlikely(x) __builtin_expect(!!(x), 0) | ^ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; Eigen::MatrixXd = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55:22: warning: comparison of integer expressions of different signedness: 'std::vector >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 55 | if (p_names.size() != draws.cols()) { | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:71:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] 71 | for (size_t i = 0; i < draws.rows(); ++i) { | ~~^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:67: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/assert.hpp:35, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:19, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size_type.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/size.hpp:21, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/functions.hpp:20, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range.hpp:18, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/numeric/odeint/util/resize.hpp:22: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept >, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:81:13: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:26, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:16, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string.hpp:23, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:4, from D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:46: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::token_finderF >; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:98:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:40:18: note: in a call to non-static member function 'void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 40 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FormatterConcept >, boost::algorithm::detail::first_finderF, __gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_format.hpp:103:13: required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/replace.hpp:179:44: required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:29: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/concept.hpp:65:18: note: in a call to non-static member function 'void boost::algorithm::FormatterConcept::constraints() [with FormatterT = boost::algorithm::detail::const_formatF >; FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]' 65 | void constraints() | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ stanExports_rtsmcml_poisson_region.h: In instantiation of 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here stanExports_rtsmcml_poisson_region.h:436:20: warning: unused variable 'jacobian__' [-Wunused-variable] 436 | constexpr bool jacobian__ = false; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:26: required from 'stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from 'static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:330: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:53: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:34:44: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, -1, 0, -1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, -1, 0, -1, -1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:40: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:43: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:54: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1>&>(const Eigen::Matrix, -1, -1>&):: [with auto:11 = const Eigen::Matrix, -1, -1>]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:56:58: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:53: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:37: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, -1> >&>(arena_matrix, -1, -1> >&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, -1> >&>(arena_matrix, -1, -1> >&):: [with auto:11 = stan::math::arena_matrix, -1, -1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:48: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, -1, 0, -1, -1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, -1, 0, -1, -1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:11: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:46: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:79:8: required from 'struct stan::is_any_var_matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1, 0, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:22:7: required by substitution of 'template using return_var_matrix_t = std::conditional_t::value, stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >; Types = {Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, -1, 1, 0, -1, 1>}]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:31:9: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson_region.h:402:50: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:35:39: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson_region.h:402:50: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:35:54: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson_region.h:402:50: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:39:39: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson_region.h:402:50: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:49:54: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson_region.h:402:50: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:27: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson_region.h:402:50: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:47: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson_region.h:402:50: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:50: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson_region.h:402:50: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:57:48: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix, -1, 1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]' stanExports_rtsmcml_poisson_region.h:402:50: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:15: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:39:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from 'void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:40:16: required from 'stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from 'stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/beta.hpp:1721, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/binomial.hpp:15, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/choose.hpp:7, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun.hpp:46, from D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim.hpp:14: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp: In instantiation of 'boost::math::detail::temme_root_finder::temme_root_finder(T, T) [with T = double]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:304:7: required from 'T boost::math::detail::temme_method_2_ibeta_inverse(T, T, T, T, T, const Policy&) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:615:48: required from 'T boost::math::detail::ibeta_inv_imp(T, T, T, T, const Policy&, T*) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::overflow_error, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:992:30: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(T1, T2, T3, T4*, const Policy&) [with T1 = double; T2 = double; T3 = double; T4 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:1023:20: required from 'boost::math::tools::promote_args_t boost::math::ibeta_inv(RT1, RT2, RT3, const Policy&) [with RT1 = double; RT2 = double; RT3 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/inv_inc_beta.hpp:32:32: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:29:15: warning: unused variable 'x_extrema' [-Wunused-variable] 29 | const T x_extrema = 1 / (1 + a); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:277: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:70: required from 'stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::exp >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::exp >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsmcml_poisson_region.h:395:50: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: required from 'auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]' stanExports_rtsmcml_poisson_region.h:402:50: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:78: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:75: required from 'stan::math::value_of, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:43:47: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_binary.hpp:60:51: required from 'stan::math::apply_scalar_binary, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::&&):: [with auto:59 = stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::; auto:60 = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; auto:61 = const Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:69:56: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:115:7: required from 'class stan::math::Holder, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:312:16: required from 'auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence, const std::tuple&) [with T = Eigen::CwiseBinaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; long long unsigned int ...Is = {0}; Args = {stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::}; std::index_sequence = std::integer_sequence]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:330:43: required from 'auto stan::math::internal::make_holder_impl(const F&, std::index_sequence, Args&& ...) [with F = stan::math::apply_scalar_binary, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&):: >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&, multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::&&)::; long long unsigned int ...Is = {0, 1, 2}; Args = {stan::math::multiply_log, 0, Eigen::Stride<0, 0> > >, Eigen::Array >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&, const Eigen::Array&}; std::index_sequence = std::integer_sequence]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:353:36: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:69:56: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:74:30: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from 'static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:74:23: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:78:39: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:78:52: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:51: required from 'stan::math::as_array_or_scalar, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >&):: [with auto:13 = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of 'template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >&)::; Args = {const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >&}; stan::require_plain_type_t()((declval)()...))>* = ]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:50: required from 'int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:502:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:50: required from 'stan::math::var stan::math::accumulator::type>::value, void>::type>::sum() const [with T = stan::math::var_value; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = std::decay >::type; stan::math::var = stan::math::var_value]' stanExports_rtsmcml_poisson_region.h:409:26: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:223:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:15: required from 'int stan::services::experimental::advi::meanfield(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:900:18: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:45:20: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime)>* = 0]': D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20: required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::Array]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:46:20: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase >::Index' {aka 'long long int'} [-Wsign-compare] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:39: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:81:28: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:30: required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:81:28: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:56: required from 'int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; Eigen::MatrixXd = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1253:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:30:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:333: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from 'Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from 'Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:45: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from 'stan::value_type_t stan::math::sum(const T&) [with T = Eigen::Array; stan::require_eigen_vt* = 0; stan::value_type_t = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/poisson_lpmf.hpp:71:16: required from 'stan::return_type_t stan::math::poisson_lpmf(const T_n&, const T_rate&) [with bool propto = true; T_n = std::vector; T_rate = Eigen::Matrix, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]' stanExports_rtsmcml_poisson_region.h:401:58: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:31: D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:152:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:278:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: required from 'struct boost::concepts::requirement_ > > >)>' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]' 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/algorithm/equal.hpp:174:13: required from 'bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:644:32: required from 'bool boost::operator==(const iterator_range&, const iterator_range&) [with Iterator1T = __gnu_cxx::__normal_iterator >; Iterator2T = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/find_iterator.hpp:359:32: required from 'bool boost::algorithm::split_iterator::equal(const boost::algorithm::split_iterator&) const [with IteratorT = __gnu_cxx::__normal_iterator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:649:26: required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; mpl_::true_ = mpl_::bool_]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:981:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator==(const iterator_facade&, const iterator_facade&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference1 = long long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_adaptor.hpp:305:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: warning: 'this' pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:337: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:125:16: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:147:16: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: required from 'struct boost::Convertible' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp: In instantiation of 'boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]': D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:50:47: required from 'static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: required from 'struct boost::SinglePassRangeConcept > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of 'template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from 'const bool boost::concepts::not_satisfied > > > >::value' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from 'struct boost::concepts::not_satisfied > > > >' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from 'typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:1666:21: required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]' d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\stl_vector.h:706:23: required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/iter_find.hpp:186:31: required from 'SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]' D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/algorithm/string/split.hpp:158:50: required from 'SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:17: required from here D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function 'boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]' 37 | ~model() | ^ D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE' 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:166: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:22:58: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:26:22: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from 'void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:35: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from 'Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:19: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:128:20: required from 'stan::math::arena_matrix& stan::math::arena_matrix::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:73:11: required from 'stan::math::arena_matrix::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/vari.hpp:722:9: required from 'stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename stan::plain_type::type = std::decay&>::type; typename std::decay<_Tp>::type = std::decay >::type]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/var.hpp:366:26: required from 'stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:21: required from 'auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:43: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from 'stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from 'Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from 'auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:23: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:26: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; size_t = long long unsigned int]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:638:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:27: required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]' stanExports_rtsmcml_poisson_region.h:385:52: required from 'stan::scalar_type_t model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:652:47: required from 'T_ model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:79: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1183:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:23:88: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from 'Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]' stanExports_rtsmcml_poisson_region.h:459:30: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]' stanExports_rtsmcml_poisson_region.h:641:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1105:23: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:26:89: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:33: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:20: required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; bool jacobian = false]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:517:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' D:/RCompile/CRANpkg/lib/4.4/rstan/include/rstan/stan_fit.hpp:1215:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_rtsmcml_poisson_region.cc:15:87: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/optimization/newton.hpp:19:51: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/fun/sum.hpp:32:18: required from 'stan::math::sum > >(const std::vector, arena_allocator > >&):: mutable [with auto:442 = stan::math::internal::callback_vari > >(const std::vector, arena_allocator > >&):: >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:43: required from 'void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::sum > >(const std::vector, arena_allocator > >&)::]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:15: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:21: required from 'stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:78:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] stanExports_rtsmcml_poisson_region.h: In instantiation of 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = Eigen::Matrix; VecI = std::vector; VecVar = Eigen::Matrix; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]': stanExports_rtsmcml_poisson_region.h:625:21: required from 'void model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region::write_array(RNG&, Eigen::Matrix&, Eigen::Matrix&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/model_base_crtp.hpp:140:61: required from 'void stan::model::model_base_crtp::write_array(boost::random::ecuyer1988&, Eigen::VectorXd&, Eigen::VectorXd&, bool, bool, std::ostream*) const [with M = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; boost::random::ecuyer1988 = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::VectorXd = Eigen::Matrix; std::ostream = std::basic_ostream]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/model/model_base_crtp.hpp:136:8: required from here stanExports_rtsmcml_poisson_region.h:436:20: warning: unused variable 'jacobian__' [-Wunused-variable] 436 | constexpr bool jacobian__ = false; | ^~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_rtsmcml_poisson_region_namespace::model_rtsmcml_poisson_region; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:10: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rstan/include' -I'D:/RCompile/CRANincoming/R-devel/lib/StanHeaders/include' -I'D:/RCompile/CRANpkg/lib/4.4/glmmrBase/include' -I'D:/RCompile/CRANpkg/lib/4.4/SparseChol/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c variogram.cpp -o variogram.o In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:205, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigen.h:25, from variogram.cpp:1: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:174: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:165: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:271: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' variogram.cpp:9:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' variogram.cpp:9:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' variogram.cpp:28:12: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' variogram.cpp:29:47: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' variogram.cpp:34:14: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' variogram.cpp:34:37: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' variogram.cpp:55:13: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::Array >' variogram.cpp:55:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/Core:277: D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = mul_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = mul_assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Block, -1, 1, false>]' variogram.cpp:34:38: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::Array >]' D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::Array >; Derived = Eigen::Block, -1, 1, true>]' variogram.cpp:55:36: required from here D:/RCompile/CRANincoming/R-devel/lib/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] g++ -shared -s -static-libgcc -o rts2.dll tmp.def RcppExports.o create_new_models.o model_module.o model_module_extension.o stanExports_rtsapproxlgcp.o stanExports_rtsapproxlgcp_nngp.o stanExports_rtsapproxlgcp_nngp_region.o stanExports_rtsapproxlgcp_region.o stanExports_rtslgcp.o stanExports_rtslgcp_region.o stanExports_rtsmcml_poisson.o stanExports_rtsmcml_poisson_region.o variogram.o -LD:/RCompile/CRANpkg/lib/4.4/RcppParallel/lib/x64 -ltbb -ltbbmalloc -LD:/RCompile/CRANpkg/lib/4.4/RcppParallel/lib/x64 -Wl,-rpath,D:/RCompile/CRANpkg/lib/4.4/RcppParallel/lib/x64 -ltbb -ltbbmalloc -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR installing to d:/RCompile/CRANincoming/R-devel/lib/00LOCK-rts2/00new/rts2/libs/x64 ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rts2)